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Computing and Processing Correspondences with Functional Maps
Notions of similarity and correspondence between geometric shapes and images are central to many tasks in geometry processing, computer …
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Computing and Processing Correspondences with Functional Maps
A Game-theoretical Approach for Joint Matching of Multiple Feature throughout Unordered Images
Feature matching is a key step in most Computer Vision tasks involving several views of the same subject. In fact, it plays a crucial …
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A Game-theoretical Approach for Joint Matching of Multiple Feature throughout Unordered Images
Learning shape correspondence with anisotropic convolutional neural networks
Establishing correspondence between shapes is a fundamental problem in geometry processing, arising in a wide variety of applications. …
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Learning shape correspondence with anisotropic convolutional neural networks
Coupled functional maps
Classical formulations of the shape matching problem involve the definition of a matching cost that directly depends on the action of …
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Coupled functional maps
Shape analysis with anisotropic windowed Fourier transform
We propose Anisotropic Windowed Fourier Transform (AWFT), a framework for localized space-frequency analysis of deformable 3D shapes. …
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Shape analysis with anisotropic windowed Fourier transform
Efficient globally optimal 2d-to-3d deformable shape matching
We propose the first algorithm for non-rigid 2D-to-3D shape matching, where the input is a 2D shape represented as a planar curve and a …
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Efficient globally optimal 2d-to-3d deformable shape matching
SHREC'16: Matching of deformable shapes with topological noise
A particularly challenging setting of the shape matching problem arises when the shapes being matched have topological artifacts due to …
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SHREC'16: Matching of deformable shapes with topological noise
Computing and Processing Correspondences with Functional Maps
Notions of similarity and correspondence between geometric shapes and images are central to many tasks in geometry processing, computer …
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Computing and Processing Correspondences with Functional Maps
Geometric Deep Learning
The goal of these course notes is to describe the main mathematical ideas behind geometric deep learning and to provide implementation …
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Geometric Deep Learning
Matching deformable objects in clutter
We consider the problem of deformable object detection and dense correspondence in cluttered 3D scenes. Key ingredient to our method is …
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Matching deformable objects in clutter