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ICRA
2010
IEEE
193views Robotics» more  ICRA 2010»
13 years 2 months ago
Real-time identification and localization of body parts from depth images
Abstract-- We deal with the problem of detecting and identifying body parts in depth images at video frame rates. Our solution involves a novel interest point detector for mesh and...
Christian Plagemann, Varun Ganapathi, Daphne Kolle...
ICPR
2010
IEEE
13 years 5 months ago
Human Activity Recognition Using Local Shape Descriptors
We propose a method for human activity recognition in videos, based on shape analysis. We define local shape descriptors for interest points on the detected contour of the human a...
Sharath Venkatesha, Matthew Turk
SMI
2006
IEEE
123views Image Analysis» more  SMI 2006»
13 years 11 months ago
Selecting Distinctive 3D Shape Descriptors for Similarity Retrieval
Databases of 3D shapes have become widespread for a variety of applications, and a key research problem is searching these databases for similar shapes. This paper introduces a me...
Philip Shilane, Thomas A. Funkhouser
VIS
2009
IEEE
199views Visualization» more  VIS 2009»
14 years 6 months ago
Multi-Scale Surface Descriptors
Local shape descriptors compactly characterize regions of a surface, and have been applied to tasks in visualization, shape matching, and analysis. Classically, curvature has be us...
Gregory Cipriano, George N. Phillips Jr., Michae...
ECCV
2008
Springer
14 years 6 months ago
Scale-Dependent/Invariant Local 3D Shape Descriptors for Fully Automatic Registration of Multiple Sets of Range Images
Abstract. Despite the ubiquitous use of range images in various computer vision applications, little has been investigated about the size variation of the local geometric structure...
John Novatnack, Ko Nishino
ICCV
2007
IEEE
14 years 6 months ago
3D object recognition from range images using pyramid matching
Recognition of 3D objects from different viewpoints is a difficult problem. In this paper, we propose a new method to recognize 3D range images by matching local surface descripto...
Xinju Li, Igor Guskov