JPH05135155A - Three-dimensional model constitution device using successive silhouette image - Google Patents

Three-dimensional model constitution device using successive silhouette image

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Publication number
JPH05135155A
JPH05135155A JP29751091A JP29751091A JPH05135155A JP H05135155 A JPH05135155 A JP H05135155A JP 29751091 A JP29751091 A JP 29751091A JP 29751091 A JP29751091 A JP 29751091A JP H05135155 A JPH05135155 A JP H05135155A
Authority
JP
Japan
Prior art keywords
image
silhouette
dimensional model
images
target object
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
JP29751091A
Other languages
Japanese (ja)
Other versions
JPH0766436B2 (en
Inventor
Kouu Tei
絳宇 鄭
Yoshio Nagashima
美雄 永嶋
Fumio Kishino
文郎 岸野
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
A T R TSUSHIN SYST KENKYUSHO KK
ATR TSUSHIN SYST KENKYUSHO
Original Assignee
A T R TSUSHIN SYST KENKYUSHO KK
ATR TSUSHIN SYST KENKYUSHO
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by A T R TSUSHIN SYST KENKYUSHO KK, ATR TSUSHIN SYST KENKYUSHO filed Critical A T R TSUSHIN SYST KENKYUSHO KK
Priority to JP3297510A priority Critical patent/JPH0766436B2/en
Publication of JPH05135155A publication Critical patent/JPH05135155A/en
Publication of JPH0766436B2 publication Critical patent/JPH0766436B2/en
Anticipated expiration legal-status Critical
Expired - Lifetime legal-status Critical Current

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Abstract

PURPOSE:To provide a three-dimensional model constitution device which uses successive silhouette images and constitutes a three-dimensional model with the successive silhouette images of an object body on a turntable under normal lighting conditions. CONSTITUTION:Images of the object body 5 rotating on the turntable 4 are successively picked up by a camera 7, and an image processing computer extracts the silhouette images of the object body from the picked-up images, and measures the horizontal distance to the vertical axis of rotation from the silhouette images. A graphic computer 10 generates the three-dimensional model according to the horizontal distance and angle of rotation, extracts only image data on the vertical line positioned on the axis of rotation of the successively picked-up images, and displays the extracted images on the three-dimensional model display device 11.

Description

【発明の詳細な説明】Detailed Description of the Invention

【0001】[0001]

【産業上の利用分野】この発明は連続シルエット画像に
よる3次元モデル構成装置に関し、特に、画像通信・グ
ラフィックスによる仮想空間の生成やテレビ会議の立体
表示などの分野に用いられ、画像処理の方法を用いて顔
の3次元情報を得るような連続シルエット画像による3
次元モデル構成装置に関する。
BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an apparatus for constructing a three-dimensional model using continuous silhouette images, and in particular, it is used in the fields of image communication, generation of virtual space by graphics, stereoscopic display of video conferences, etc. 3 by the continuous silhouette image that obtains the three-dimensional information of the face using
The present invention relates to a dimensional model construction device.

【0002】[0002]

【従来の技術および発明が解決しようとする課題】従来
の3次元モデルを構成する方法として、レーザやスリッ
ト光など構造化した光を物体に照らし、その変形を測定
することによって物体の形状を得るようにした光切断法
が知られている。しかしながら、レーザ光を顔の上にス
キャンすることは、髪などの反射の弱いものに対して正
しい形状を得ることができず、人間にとっても不自然な
ことである。それ以外の方法として、ステレオの視差あ
るいは画面モーションによる奥行きの計算法とシェーデ
ィングによる形状の検出方法もあるが、前者は顔の均一
な濃淡分布に無力であり、後者は同一の反射率を仮定し
ており、いずれも満足できる精度まで出すことはできな
い。
2. Description of the Related Art As a conventional method for constructing a three-dimensional model, a structured light such as a laser or slit light is illuminated on an object, and its deformation is measured to obtain the shape of the object. The light cutting method is known. However, scanning the laser beam on the face is unnatural for humans because it is not possible to obtain a correct shape for hair or other weakly reflective objects. There are other methods, such as depth calculation method using stereo parallax or screen motion, and shape detection method using shading, but the former method is ineffective in uniform shade distribution of the face, and the latter method assumes the same reflectance. However, none of them can provide satisfactory accuracy.

【0003】一方、カメラから撮像した画像を参考にし
て顔の標準モデルを変形する方法もあるが、少数のモデ
ルで実際に変化の多い人間像に変形するのは極めて困難
であった。
On the other hand, there is also a method of transforming a standard model of a face with reference to an image picked up by a camera, but it has been extremely difficult to transform it into a human image which actually has many changes with a small number of models.

【0004】それゆえに、この発明の主たる目的は、普
通の照明条件の下で、回転した物体の画像から3次元モ
デルを構成することができるような連続シルエット画像
による3次元モデル構成装置を提供することである。
Therefore, a main object of the present invention is to provide a three-dimensional model constructing apparatus using continuous silhouette images, which is capable of constructing a three-dimensional model from an image of a rotated object under normal lighting conditions. That is.

【0005】[0005]

【課題を解決するための手段】この発明は連続シルエッ
ト画像による3次元モデル構成装置であって、垂直回転
軸を中心として水平面での回転を行なう対象物体を連続
的に撮像する撮像手段と、撮像された出力画像から対象
物体のシルエット画像を抽出するシルエット画像抽出手
段と、抽出されたシルエット画像から垂直回転軸までの
水平距離を計測する計測手段と、計測された水平距離と
対象物体の回転角度に基づいて3次元モデルを生成する
3次元モデル生成手段と、連続的に撮像した画像の回転
軸に位置する垂直線上の画像データのみを抽出する画像
データ抽出手段と、抽出された画像を生成した3次元モ
デルにマッピングするマッピング手段を備えて構成され
る。
SUMMARY OF THE INVENTION The present invention is a three-dimensional model constructing apparatus using continuous silhouette images, and an image pickup means for continuously picking up an image of a target object rotating on a horizontal plane about a vertical rotation axis, and an image pickup means. Silhouette image extraction means for extracting the silhouette image of the target object from the output image obtained by the measurement, measuring means for measuring the horizontal distance from the extracted silhouette image to the vertical rotation axis, and the measured horizontal distance and the rotation angle of the target object A three-dimensional model generating means for generating a three-dimensional model based on the above, an image data extracting means for extracting only image data on a vertical line located on the rotation axis of continuously captured images, and an extracted image are generated. It is configured to include a mapping unit that maps to a three-dimensional model.

【0006】[0006]

【作用】この発明に係る連続シルエット画像による3次
元モデル構成装置は、水平面で回転する対象物体を連続
的に撮像し、撮像した画像から対象物体のシルエット画
像を抽出し、シルエット画像から垂直回転軸までの水平
距離を計測し、その水平距離と回転角度とに基づいて3
次元モデルを生成し、連続的に撮像した画像の回転軸に
位置する垂直線上の画像データのみを抽出し、抽出した
画像を3次元モデルにマッピングする。
A three-dimensional model constructing apparatus using continuous silhouette images according to the present invention continuously captures a target object rotating on a horizontal plane, extracts a silhouette image of the target object from the captured images, and extracts a vertical rotation axis from the silhouette image. The horizontal distance up to is measured and based on the horizontal distance and the rotation angle, 3
A three-dimensional model is generated, only image data on a vertical line located on the rotation axis of continuously captured images is extracted, and the extracted image is mapped to the three-dimensional model.

【0007】[0007]

【実施例】図1はこの発明の原理を説明するための図で
ある。図1を参照して、対象物体1はその対象物体1と
色の異なる背景2の手前に配置され、水平面で回転軸3
を中心として回転する。回転軸3の画面位置は予めキャ
リブレーションされており、その回転角度は既知とす
る。対象物体1から遠く離れた位置にカメラを配置し、
対象物体1のカメラへの射影を直交射影と仮定する。対
象物体1を回転軸を中心として一定角度毎の射影をイメ
ージとして撮像し、それぞれの角度における対象物体1
のイメージから3次元モデルを構成する。
1 is a diagram for explaining the principle of the present invention. Referring to FIG. 1, a target object 1 is arranged in front of a background 2 having a color different from that of the target object 1, and a rotary shaft 3
Rotate around. The screen position of the rotary shaft 3 is calibrated in advance, and its rotation angle is known. The camera is placed at a position far from the target object 1,
The projection of the target object 1 on the camera is assumed to be orthogonal projection. The target object 1 is imaged as an image of projections at constant angles around the rotation axis, and the target object 1 at each angle is captured.
3D model is constructed from the image.

【0008】図2はこの発明の一実施例の概略ブロック
図である。図2を参照して、回転台4の上に人間5が載
る。回転台4は回転台制御装置6によって制御され、回
転台制御装置6は画像処理コンピュータ9から指令され
た角度で連続的に回転台4を回転させる。カメラ7は回
転する人間5の顔画像を各角度毎に撮像し、回転台4が
1回転すると360枚の画像が得られる。カメラ7の画
像出力は画像入力装置8に与えられ、各方向から見える
顔の形状のシルエットが画像処理コンピュータ9によっ
て抽出される。その連続なシルエットはグラフィックス
コンピュータ10に与えられ、3次元形状が再構成さ
れ、3次元モデル表示装置11によって表示される。
FIG. 2 is a schematic block diagram of an embodiment of the present invention. With reference to FIG. 2, a person 5 is placed on the turntable 4. The rotary base 4 is controlled by the rotary base controller 6, and the rotary base controller 6 continuously rotates the rotary base 4 at an angle instructed by the image processing computer 9. The camera 7 captures a face image of the rotating human 5 at each angle, and when the turntable 4 makes one rotation, 360 images are obtained. The image output of the camera 7 is given to the image input device 8, and the silhouette of the face shape seen from each direction is extracted by the image processing computer 9. The continuous silhouette is given to the graphics computer 10, and the three-dimensional shape is reconstructed and displayed by the three-dimensional model display device 11.

【0009】図3は画像からシルエットを取出す方法を
説明するための図であり、図4は連続画像からシルエッ
トの分布を求める方法を説明するための図である。
FIG. 3 is a diagram for explaining a method for extracting a silhouette from an image, and FIG. 4 is a diagram for explaining a method for obtaining a silhouette distribution from a continuous image.

【0010】シルエットの抽出は、1枚の画像に対し
て、エッジの検出を行なう。すなわち、明るさの変化の
大きい部分を検出するためにソーベルオペレータをかけ
て微分画像を得る。そして、水平と垂直両方向で微分の
ピークを判別し、その値がある指定されたしきい値を超
えればそれをエッジ点とする。シルエットを発見すると
き、図3に示すように、画面の両側から中心に向かって
エッジ点を探し、初めて合った点をシルエットの点とす
る。それぞれの高さyで抽出したシルエットから回転軸
の画面位置までの距離d(y)を記録する。連続回転で
撮った画像列のシルエットをつなげれば、図4に示すよ
うに、角度に従うシルエット分布d(θ,y)になる。
The silhouette is extracted by detecting edges in one image. That is, a Sobel operator is applied to obtain a differential image in order to detect a portion with a large change in brightness. Then, the peak of differentiation is discriminated in both the horizontal and vertical directions, and if that value exceeds a specified threshold value, it is taken as an edge point. When finding a silhouette, as shown in FIG. 3, edge points are searched from both sides of the screen toward the center, and the first matching point is set as the silhouette point. The distance d (y) from the silhouette extracted at each height y to the screen position of the rotation axis is recorded. If the silhouettes of the image sequences taken by continuous rotation are connected, the silhouette distribution d (θ, y) according to the angle is obtained, as shown in FIG.

【0011】図5はシルエットを通る視線が空間中顔の
部分と非顔の部分を分ける方法を説明するための図であ
り、図6は顔の占める部分を視線族の包絡線で囲まれる
ことを説明するための図であり、図7はシルエットを通
る視線の計算方法を説明するための図であり、図8は参
考点から放射線を描き包絡線を点列で表現した例を示す
図である。
FIG. 5 is a diagram for explaining a method of dividing a face portion and a non-face portion in a space in which a line of sight passing through a silhouette, and FIG. FIG. 7 is a diagram for explaining a method of calculating a line of sight through a silhouette, and FIG. 8 is a diagram showing an example in which radiation is drawn from a reference point and an envelope is represented by a sequence of points. is there.

【0012】この発明の一実施例では、3次元空間から
カメラ7への射影を直交射影と仮定する。このため、3
次元モデルの構成は各水平面で行なえる。空間のある高
さyの水平面を考えてみる。図5に示すように、角度θ
での画像から得られたシルエットの1点を通してカメラ
7の視線が顔の占める反平面の領域を割出すことができ
る。連続のシルエットに対して、角度θ1,θ2…につ
いてこの割出しをすると、図6に示すように、顔の3次
元の形状はあらゆる角度からの視線の包絡線になる。そ
の原理に基づいて、各高さyの水平面に対する2次元メ
モリを用意しておき、その中心を回転軸の位置とする。
それぞれの角度θに対して軸からの距離d(θ,y)を
求めたため、シルエットを通る視線族は図7に示すよう
に、次の式で計算できる。
In one embodiment of the present invention, the projection from the three-dimensional space onto the camera 7 is assumed to be orthogonal projection. Therefore, 3
The dimensional model can be constructed in each horizontal plane. Consider a horizontal plane of height y with space. As shown in FIG. 5, the angle θ
It is possible to determine the area of the anti-plane where the line of sight of the camera 7 occupies the face, through one point of the silhouette obtained from the image. When this indexing is performed for angles θ1, θ2, ... With respect to a continuous silhouette, the three-dimensional shape of the face becomes an envelope of the line of sight from any angle, as shown in FIG. Based on the principle, a two-dimensional memory for a horizontal plane of each height y is prepared, and its center is the position of the rotation axis.
Since the distance d (θ, y) from the axis is obtained for each angle θ, the line-of-sight family passing through the silhouette can be calculated by the following formula, as shown in FIG. 7.

【0013】視線が通る1点(x1,z1) x1=d(θ,y)cosθ z1=d(θ,y)sinθ を計算し、視線の連立方程式は x=−sinθd+x1 z=cosθt+z1 となる(ただし、t=0→∞) したがって、この包絡線を抽出すればその水平面での顔
の形状が求められる。図8に示すように、その包絡線の
中の任意の点から等間隔の角度を用いて放射線を2次元
のメモリ上で描くと、視線族との最初の接点は包絡線に
あるということがわかる。このように得られた形状のリ
ング上の点列をPi(x,y,z)と記述する。放射線
の原点を水平面の参考点と呼ぶ。
One point (x1, z1) through which the line of sight passes x1 = d (θ, y) cos θ z1 = d (θ, y) sin θ is calculated, and the simultaneous equation of the line of sight is x = −sin θd + x1 z = cos θt + z1 ( However, t = 0 → ∞) Therefore, if this envelope is extracted, the shape of the face on the horizontal plane can be obtained. As shown in FIG. 8, when radiation is drawn on a two-dimensional memory using angles at equal intervals from arbitrary points in the envelope, it can be said that the first contact point with the line-of-sight family is at the envelope. Recognize. The point sequence on the ring having the shape thus obtained is described as Pi (x, y, z). The origin of radiation is called the horizontal reference point.

【0014】以上述べた方法を各高さの水平面で実施す
ると、顔全体のモデルが構成される。ただし、各高さで
参考点を決めることが必要である。その条件としては、
まず参考点が顔の占める範囲に入らなければならない。
そして、その範囲がより中央にあれば形状の境界の点P
i(x,y,z)がより均等に分布する。顔の曲面を考
えると、高さによる形状の変化は連続的であり、原水平
面の参考点を1つ上の水平面の重心にすればよい。した
がって、参考点は続々と更新されて、各水平面でのモデ
ルの境界を結ぶ。各水平面での形状が定まると、それら
を連結して顔全体のモデルを完成する。方法としては、
角度θに従って各水平面の形状リングの点を三角パッチ
で結ぶ。
When the above-mentioned method is carried out on a horizontal plane at each height, a model of the whole face is constructed. However, it is necessary to determine a reference point at each height. The conditions are:
First, the reference point must fall within the range occupied by the face.
If the range is more centered, the point P at the boundary of the shape
i (x, y, z) is more evenly distributed. Considering the curved surface of the face, the change in shape with height is continuous, and the reference point of the raw horizontal plane should be the center of gravity of the horizontal plane one level above. Therefore, the reference points are updated one after another to connect the boundaries of the model in each horizontal plane. Once the shape on each horizontal plane is determined, they are connected to complete the model of the entire face. As a method,
The points of the shape ring on each horizontal plane are connected by triangular patches according to the angle θ.

【0015】次に、テキスチャーの張り付け方法につい
て説明する。連続画像を入力した際、顔のテキスチャー
も同時に記憶されている。それは各画面毎に、回転軸に
位置する垂直線上のRGB値を順番にテキスチャー画像
ファイルにコピーするだけでよい。そのテキスチャーフ
ァイルの縦軸は入力画像の縦軸と同じであり、水平軸は
画像の番号、すなわち対象物の回転角度を表わしてい
る。テキスチャーを張り付けるとき、まずモデルのカメ
ラから見る角度を計算する。そして、その角度で記憶し
たテキスチャーを境界点の色とする。
Next, a method of attaching the texture will be described. When inputting continuous images, the texture of the face is also stored at the same time. For each screen, it suffices to copy the RGB values on the vertical line located on the rotation axis in order to the texture image file. The vertical axis of the texture file is the same as the vertical axis of the input image, and the horizontal axis represents the image number, that is, the rotation angle of the object. When attaching the texture, first calculate the angle viewed from the model camera. Then, the texture stored at that angle is used as the color of the boundary point.

【0016】図9および図10はこの発明の実験結果を
示し、特に、図9はシルエット分布の一例を示し、図1
0は顔の領域を視線族で切り出した状態を示す。図10
においては、構造を獲得してから、その上にテキスチャ
ーをマッピングした最後のモデルを表示している。
9 and 10 show experimental results of the present invention. In particular, FIG. 9 shows an example of silhouette distribution, and FIG.
0 indicates a state in which the face region is cut out by the line-of-sight family. Figure 10
In, we show the last model that we have acquired the structure and then mapped the texture onto it.

【0017】[0017]

【発明の効果】以上のように、この発明によれば、水平
面で回転する対象物体を連続的に撮像し、撮像した画像
から対象物体のシルエット画像を抽出し、シルエット画
像から垂直回転軸までの水平距離を計測し、その水平距
離と回転角度とに基づいて3次元モデルを生成し、連続
的に撮像した画像の回転軸に位置する垂直線上の画像デ
ータのみを抽出し、抽出した画像を3次元モデルにマッ
ピングするようにしたので、3次元モデルを安定かつ正
確に得られることができる。モデルの精度は画像の分解
能および回転中画像の密度に依存し、原理的には光切断
法と同様である。しかも、この発明によれば、光切断法
やステレオなどの三角測量を使わないため、カメラのキ
ャリブレーションを非常に簡単にすることができる。
As described above, according to the present invention, a target object rotating on a horizontal plane is continuously captured, a silhouette image of the target object is extracted from the captured images, and the silhouette image to the vertical rotation axis is extracted. The horizontal distance is measured, a three-dimensional model is generated based on the horizontal distance and the rotation angle, only the image data on the vertical line located on the rotation axis of the continuously captured images is extracted, and the extracted image is set to 3 Since the three-dimensional model is mapped, the three-dimensional model can be obtained stably and accurately. The accuracy of the model depends on the resolution of the image and the density of the image during rotation, and is the same as the light section method in principle. Moreover, according to the present invention, since the photodissection method and the triangulation such as stereo are not used, the calibration of the camera can be made very simple.

【図面の簡単な説明】[Brief description of drawings]

【図1】この発明の原理を説明するための図である。FIG. 1 is a diagram for explaining the principle of the present invention.

【図2】この発明の一実施例の概略ブロック図である。FIG. 2 is a schematic block diagram of an embodiment of the present invention.

【図3】画像からシルエットを取出す方法を説明するた
めの図である。
FIG. 3 is a diagram for explaining a method of extracting a silhouette from an image.

【図4】連続画像からシルエットの分布を求める方法を
説明するための図である。
FIG. 4 is a diagram for explaining a method for obtaining a silhouette distribution from continuous images.

【図5】シルエットを通る視線が空間中顔の部分と非顔
の部分を分ける方法を説明するための図である。
FIG. 5 is a diagram for explaining a method in which a line of sight passing through a silhouette separates a face portion and a non-face portion in space.

【図6】顔の占める部分が視線族の包絡線で囲まれるこ
とを説明するための図である。
FIG. 6 is a diagram for explaining that a portion occupied by a face is surrounded by an envelope of the line-of-sight family.

【図7】シルエットを通る視線の計算方法を説明するた
めの図である。
FIG. 7 is a diagram for explaining a method of calculating a line of sight that passes through a silhouette.

【図8】参考点から放射線を描き包絡線を点列で表現し
た例を示す図である。
FIG. 8 is a diagram showing an example in which radiation is drawn from reference points and an envelope is represented by a sequence of points.

【図9】シルエット分布の一例を示す図である。FIG. 9 is a diagram showing an example of silhouette distribution.

【図10】顔の領域を視線族で切出した状態を示す図で
ある。
FIG. 10 is a diagram showing a state in which a face region is cut out by a line-of-sight family.

【符号の説明】[Explanation of symbols]

1 対象物体 2 背景 3 回転軸 4 回転台 6 回転台制御装置 7 カメラ 8 画像入力装置 9 画像処理コンピュータ 10 グラフィックコンピュータ 11 3次元モデル表示装置 1 Target Object 2 Background 3 Rotation Axis 4 Rotation Platform 6 Rotation Platform Control Device 7 Camera 8 Image Input Device 9 Image Processing Computer 10 Graphic Computer 11 3D Model Display Device

───────────────────────────────────────────────────── フロントページの続き (72)発明者 永嶋 美雄 京都府相楽郡精華町大字乾谷小字三平谷5 番地 株式会社エイ・テイ・アール通信シ ステム研究所内 (72)発明者 岸野 文郎 京都府相楽郡精華町大字乾谷小字三平谷5 番地 株式会社エイ・テイ・アール通信シ ステム研究所内 ─────────────────────────────────────────────────── ─── Continuation of the front page (72) Inventor Yoshio Nagashima, Mihaya-cho, Seika-cho, Sōraku-gun, Kyoto Prefecture 5 Mihiratani, ATR Communication Systems Laboratories, Inc. (72) Inventor, Fumio Kishino Soraku-gun, Kyoto Prefecture Seika-cho, Osamu Osamu, Osamu Osamu, 5 Hiratani, A-T Co., Ltd. Communication Systems Laboratory

Claims (1)

【特許請求の範囲】[Claims] 【請求項1】 垂直回転軸を中心として水平面での回転
を行なう対象物体を連続的に撮像する撮像手段と、 前記撮像手段によって撮像された出力画像から前記対象
物体のシルエット画像を抽出するシルエット画像抽出手
段と、 前記シルエット画像抽出手段によって抽出されたシルエ
ット画像から前記垂直回転軸までの水平距離を計測する
計測手段と、 前記計測手段によって計測された水平距離と前記対象物
体の回転角度に基づいて3次元モデルを生成する3次元
モデル生成手段と、 前記撮像手段によって連続的に撮像した画像の回転軸に
位置する垂直線上の画像データのみを抽出する画像デー
タ抽出手段と、 前記画像データ抽出手段によって抽出された画像を前記
生成した3次元モデルにマッピングするマッピング手段
を備えた、連続シルエット画像による3次元モデル構成
装置。
1. An image pickup unit for continuously picking up an image of a target object rotating on a horizontal plane about a vertical rotation axis, and a silhouette image for extracting a silhouette image of the target object from an output image picked up by the image pickup unit. Extraction means, measurement means for measuring the horizontal distance from the silhouette image extracted by the silhouette image extraction means to the vertical rotation axis, based on the horizontal distance measured by the measurement means and the rotation angle of the target object A three-dimensional model generating means for generating a three-dimensional model, an image data extracting means for extracting only image data on a vertical line located on the rotation axis of the images continuously captured by the image capturing means, and the image data extracting means A continuous sill comprising mapping means for mapping the extracted image onto the generated three-dimensional model. 3D model construction apparatus according Tsu preparative image.
JP3297510A 1991-11-14 1991-11-14 3D model construction device using continuous silhouette images Expired - Lifetime JPH0766436B2 (en)

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JP2001148021A (en) * 1999-11-22 2001-05-29 Nippon Telegr & Teleph Corp <Ntt> Method for image processing, method of generating three- dimensional model data, and their devices
KR20010091419A (en) * 2000-03-15 2001-10-23 김시중 Apparatus and method for making three-dimension image using automatical photographing
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US6356272B1 (en) 1996-08-29 2002-03-12 Sanyo Electric Co., Ltd. Texture information giving method, object extracting method, three-dimensional model generating method and apparatus for the same
US6363169B1 (en) 1997-07-23 2002-03-26 Sanyo Electric Co., Ltd. Apparatus and method of three-dimensional modeling
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Publication number Priority date Publication date Assignee Title
JPS61138377A (en) * 1984-12-11 1986-06-25 Hitachi Ltd Three-dimensional digital picture input method

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Publication number Priority date Publication date Assignee Title
JPS61138377A (en) * 1984-12-11 1986-06-25 Hitachi Ltd Three-dimensional digital picture input method

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US7106348B2 (en) 1996-08-29 2006-09-12 Sanyo Electric Co., Ltd. Texture information assignment method, object extraction method, three-dimensional model generating method, and apparatus thereof
US6356272B1 (en) 1996-08-29 2002-03-12 Sanyo Electric Co., Ltd. Texture information giving method, object extracting method, three-dimensional model generating method and apparatus for the same
US6847371B2 (en) 1996-08-29 2005-01-25 Sanyo Electric Co., Ltd. Texture information assignment method, object extraction method, three-dimensional model generating method, and apparatus thereof
US6363169B1 (en) 1997-07-23 2002-03-26 Sanyo Electric Co., Ltd. Apparatus and method of three-dimensional modeling
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US7224360B2 (en) 2001-10-25 2007-05-29 Fujifilm Corporation Image display method, image processing method, image processing apparatus, scan capturing apparatus and image signal generation method
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