Mar 22, 2022 · We design two complementary local descriptors strategies to compute geodesic-aware features efficiently: one efficient binary descriptor based ...
Our proposed description strategies are grounded on the key idea of learning feature representations on undistorted local image patches using surface geodesics.
In this paper, we take a step towards local feature extraction invariance to non-rigid de- formations in RGB-D images. In the experiments, we employed our ...
Mar 27, 2022 · We design two complementary local descriptors strategies to compute geodesic-aware features efficiently: one efficient binary descriptor based ...
This repository contains the original implementation of the descriptor "Learning Geodesic-Aware Local Features from RGB-D Images", published at Computer ...
Oct 22, 2024 · We design two complementary local descriptors strategies to compute geodesic-aware features efficiently: one efficient binary descriptor based ...
Learning geodesic-aware local features from RGB-D images. G Potje, R Martins, F Cadar, ER Nascimento. Computer Vision and Image Understanding 219, 103409, 2022.
Our method uses geodesic isocurves on smooth textured manifolds. It combines appearance and geometric information from RGB-D images to tackle non-rigid ...
Learning Geodesic-Aware Local Features from RGB-D Images · no code ... Extracting Deformation-Aware Local Features by Learning to Deform · 1 code ...
Learning geodesic-aware local features from RGB-D images, Computer Vision and Image Understanding, 2022. Visit the page for more information and paper ...