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ICCV
2011
IEEE
12 years 11 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
MVA
1996
100views Computer Vision» more  MVA 1996»
14 years 23 days ago
Range Data Segmentation with Principal Vectors and Surface Types
A new method for segmenting range data including curved surfaceisproposed.Themethod isbasedonrobust principal vectors calculation using ISL-primary-axis method. First a normal vec...
Takashi Yoshimi, Yoshihiro Kawai, Fumiaki Tomita