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SAC
2004
ACM
15 years 9 months ago
Concatenate feature extraction for robust 3D elliptic object localization
Developing an efficient object localization system for complicated industrial objects is an important, yet difficult robotic task. To tackle this problem, we have developed a syst...
Yuichi Motai, Akio Kosaka
ICCV
2011
IEEE
14 years 4 months ago
Informative Feature Selection for Object Recognition via Sparse PCA
Bag-of-words (BoW) methods are a popular class of object recognition methods that use image features (e.g., SIFT) to form visual dictionaries and subsequent histogram vectors to r...
Nikhil Naikal, Allen Y. Yang, S. Shankar Sastry
MM
2005
ACM
215views Multimedia» more  MM 2005»
15 years 10 months ago
OpenVIDIA: parallel GPU computer vision
Graphics and vision are approximate inverses of each other: ordinarily Graphics Processing Units (GPUs) are used to convert “numbers into pictures” (i.e. computer graphics). I...
James Fung, Steve Mann
CVPR
2005
IEEE
16 years 6 months ago
Combining Object and Feature Dynamics in Probabilistic Tracking
Objects can exhibit different dynamics at different scales, and this is often exploited by visual tracking algorithms. A local dynamic model is typically used to extract image fea...
Leonid Taycher, John W. Fisher III, Trevor Darrell
GRAPHICSINTERFACE
2007
15 years 5 months ago
A GPU based interactive modeling approach to designing fine level features
In this paper we propose a GPU based interactive geometric modeling approach to designing fine level features on subdivision surfaces. Displacement mapping is a technique for addi...
Xin Huang, Sheng Li, Guoping Wang