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» Structural Descriptors for 3D Shapes
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SMI
2008
IEEE
131views Image Analysis» more  SMI 2008»
14 years 3 months ago
Segmentation-free skeletonization of grayscale volumes for shape understanding
Medical imaging has produced a large number of volumetric images capturing biological structures in 3D. Computer-based understanding of these structures can often benefit from th...
Sasakthi S. Abeysinghe, Matthew L. Baker, Wah Chiu...
SCALESPACE
2009
Springer
14 years 3 months ago
Pre-image as Karcher Mean Using Diffusion Maps: Application to Shape and Image Denoising
In the context of shape and image modeling by manifold learning, we focus on the problem of denoising. A set of shapes or images being known through given samples, we capture its s...
Nicolas Thorstensen, Florent Ségonne, Renau...
CVPR
2008
IEEE
14 years 11 months ago
Geo-spatial aerial video processing for scene understanding and object tracking
This paper presents an approach to extracting and using semantic layers from low altitude aerial videos for scene understanding and object tracking. The input video is captured by...
Jiangjian Xiao, Hui Cheng, Feng Han, Harpreet S. S...
STOC
2003
ACM
136views Algorithms» more  STOC 2003»
14 years 9 months ago
Alpha-shapes and flow shapes are homotopy equivalent
In this paper we establish a topological similarity between two apparently different shape constructors from a set of points. Shape constructors are geometric structures that tran...
Tamal K. Dey, Joachim Giesen, Matthias John
CVPR
2007
IEEE
14 years 11 months ago
Statistical Shape Analysis of Multi-Object Complexes
An important goal of statistical shape analysis is the discrimination between populations of objects, exploring group differences in morphology not explained by standard volumetri...
Kevin Gorczowski, Martin Styner, Ja-Yeon Jeong, J....