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» Algorithms for Plane-Based Pose Estimation
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CVPR
2007
IEEE
14 years 9 months ago
3D Probabilistic Feature Point Model for Object Detection and Recognition
This paper presents a novel statistical shape model that can be used to detect and localise feature points of a class of objects in images. The shape model is inspired from the 3D...
Sami Romdhani, Thomas Vetter

Book
5396views
15 years 6 months ago
Markov Random Field Modeling in Computer Vision
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
Stan Z. Li
ICCV
2009
IEEE
15 years 20 days ago
Seeing 3D Objects in a Single 2D Image
A general framework simultaneously addressing pose estimation, 2D segmentation, object recognition, and 3D reconstruction from a single image is introduced in this paper. The pr...
Diego Rother, Guillermo Sapiro
CDC
2009
IEEE
152views Control Systems» more  CDC 2009»
14 years 12 days ago
Distributed image-based 3-D localization of camera sensor networks
— We consider the problem of distributed estimation of the poses of N cameras in a camera sensor network using image measurements only. The relative rotation and translation (up ...
Roberto Tron, René Vidal
RSP
1998
IEEE
188views Control Systems» more  RSP 1998»
13 years 12 months ago
Performance and Interface Buffer Size Driven Behavioral Partitioning for Embedded Systems
One of the major differences in partitioning for codesign is in the way the communication cost is evaluated. Generally the size of the edge cut-set is used. When communication bet...
T.-C. Lin, Sadiq M. Sait, Walling R. Cyre