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» Bayesian structure from motion using inertial information
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IROS
2006
IEEE
156views Robotics» more  IROS 2006»
15 years 3 months ago
Decoupled Homography-based Visual Servoing with Omnidirectional Cameras
Abstract— This paper presents a new hybrid decoupled visionbased control scheme valid for the entire class of central catadioptric sensors (including conventional perspective cam...
Hicham Hadj-Abdelkader, Youcef Mezouar, Nicolas An...
IJCSA
2007
99views more  IJCSA 2007»
14 years 9 months ago
Wing Pattern-Based Classification of the Rhagoletis pomonella Species Complex Using Genetic Neural Networks
The Rhagoletis pomonella species complex consists of at least four sibling species. They are highly host specific as larvae, and display great fidelity as adults. The only certain...
Chengpeng Bi, Michael C. Saunders, Bruce A. McPher...
FGR
2006
IEEE
148views Biometrics» more  FGR 2006»
15 years 3 months ago
Gait Tracking and Recognition Using Person-Dependent Dynamic Shape Model
Characteristics of the 2D shape deformation in human motion contain rich information for human identification and pose estimation. In this paper, we introduce a framework for sim...
Chan-Su Lee, Ahmed M. Elgammal
MICCAI
2002
Springer
15 years 10 months ago
Recognizing Deviations from Normalcy for Brain Tumor Segmentation
A framework is proposed for the segmentation of brain tumors from MRI. Instead of training on pathology, the proposed method trains exclusively on healthy tissue. The algorithm att...
David T. Gering, W. Eric L. Grimson, Ron Kikinis
MVA
2002
119views Computer Vision» more  MVA 2002»
14 years 9 months ago
A Cooperative Method of SFM and Stereo for Motion and Depth Extraction
Stereo is a useful technique for obtaining depth information from images. However, it is required that the baseline length between two cameras should be large to increase depth pr...
Jae-Hean Kim, Myung Jin Chung