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Abstract: We introduce a novel matching algorithm for computing dense pixel correspondences, which is inspired from deep convolutional neural networks.
We achieve the algorithm through a hierarchical, multi- layer pyramid architecture for matching images: larger and upper patches offer greater regularization ...
A novel matching algorithm for computing dense pixel correspondences, inspired from deep convolutional neural networks, is introduced, which shows excellent ...
A dense correspondences matching algorithm with hierarchical pyramid architecture ... pyramid (DSP) matching algorithm for computing dense pixel correspondences.
Zhe Sun, Yong Zhang, Qutong Chang: A dense correspondences matching algorithm with hierarchical pyramid architecture. CISP-BMEI 2017: 1-6.
Sep 1, 2023 · Under the constraint of the matched line segments, the proposed dense matching method generates building edges that are visually clearer, and ...
DeepMatching relies on a hierarchical, multi-layer, correlational architecture designed for matching images and was inspired by deep convolutional approaches.
Missing: pyramid | Show results with:pyramid
In this paper, we propose an image completion algorithm based on dense correspondence between the input image and an exemplar image retrieved from Internet.
Missing: architecture. | Show results with:architecture.
We introduce a novel matching algorithm, called DeepMatching, to compute dense correspondences between images. DeepMatching relies on a hierarchical, multi ...
We propose a hierarchal image matching method using the CNN feature pyramid, named as CNN Flow. The feature maps output by different layers of CNN tend to ...