Search Results - Computational Geometry and Object Modeling – Geometric algorithms. Keywords

A Survey on Shape Correspondence by van Kaick, Oliver, Zhang, Hao, Hamarneh, Ghassan, Cohen-Or, Daniel

“…We review methods designed to compute correspondences between geometric shapes represented by triangle meshes, contours or point sets…”
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Modeling Coverage in Camera Networks: A Survey by Mavrinac, Aaron, Chen, Xiang

“…Modeling the coverage of a sensor network is an important step in a number of design and optimization techniques…”
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A Branch-and-Bound Approach to Correspondence and Grouping Problems by Bazin, J., Hongdong Li, In So Kweon, Demonceaux, C., Vasseur, P., Ikeuchi, K.

“… It is a key ingredient for a wide range of vision tasks, including three-dimensional reconstruction and object recognition…”
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Shape-Based Object Detection via Boundary Structure Segmentation by Toshev, Alexander, Taskar, Ben, Daniilidis, Kostas

“… Our shape representation, called the chordiogram, is based on geometric relationships of object boundary edges, while the perceptual saliency cues we use favor coherent regions distinct from the background…”
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Recovering Occlusion Boundaries from an Image by Hoiem, Derek, Efros, Alexei A., Hebert, Martial

“…Occlusion reasoning is a fundamental problem in computer vision. In this paper, we propose an algorithm to recover the occlusion boundaries and depth ordering of free-standing structures in the scene…”
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Enhancing three-dimensional convolutional neural network-based geometric feature recognition for adaptive additive manufacturing: a signed distance field data approach by Hilbig, Arthur, Vogt, Lucas, Holtzhausen, Stefan, Paetzold, Kristin

“…Abstract In the context of additive manufacturing, the adjustment of process data to individual geometric features offers the potential to further increase manufacturing speed and quality…”
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Minimizing Energies with Hierarchical Costs by Delong, Andrew, Gorelick, Lena, Veksler, Olga, Boykov, Yuri

“… Hierarchical costs are natural for modeling an array of difficult problems. For example, in semantic segmentation one could rule out unlikely object combinations via hierarchical context…”
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3D Deformable Object Matching Using Graph Neural Networks by Mihai-Adrian LOGHIN

“… This includes problems such as classification, regression, and the lesser-known object matching problem…”
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