7 Result(s)
within
Alexander M. Bronstein
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Chapter and Conference Paper
Stable Spectral Mesh Filtering
The rapid development of 3D acquisition technology has brought with itself the need to perform standard signal processing operations such as filters on 3D data. It has been shown that the eigenfunctions of the...
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Chapter and Conference Paper
Putting the Pieces Together: Regularized Multi-part Shape Matching
Multi-part shape matching is an important class of problems, arising in many fields such as computational archaeology, biology, geometry processing, computer graphics and vision. In this paper, we address the ...
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Chapter and Conference Paper
Spatially-Sensitive Affine-Invariant Image Descriptors
Invariant image descriptors play an important role in many computer vision and pattern recognition problems such as image search and retrieval. A dominant paradigm today is that of “bags of features”, a repres...
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Chapter and Conference Paper
Regularized Partial Matching of Rigid Shapes
Matching of rigid shapes is an important problem in numerous applications across the boundary of computer vision, pattern recognition and computer graphics communities. A particularly challenging setting of th...
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Chapter and Conference Paper
Robust Expression-Invariant Face Recognition from Partially Missing Data
Recent studies on three-dimensional face recognition proposed to model facial expressions as isometries of the facial surface. Based on this model, expression-invariant signatures of the face were constructed ...
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Chapter and Conference Paper
Face Recognition from Facial Surface Metric
Recently, a 3D face recognition approach based on geometric invariant signatures, has been proposed. The key idea is a representation of the facial surface, invariant to isometric deformations, such as those r...
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Article
Biometrics was no match for hair-raising tricks
People have been fooling the latest thing in security for a very long time.
