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» Novel image feature alphabets for object recognition
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TCSV
2008
291views more  TCSV 2008»
13 years 6 months ago
A Statistical Video Content Recognition Method Using Invariant Features on Object Trajectories
Abstract--This work is dedicated to a statistical trajectorybased approach addressing two issues related to dynamic video content understanding: recognition of events and detection...
Alexandre Hervieu, Patrick Bouthemy, Jean-Pierre L...
ICCV
2011
IEEE
12 years 6 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
CVPR
2007
IEEE
14 years 8 months ago
Adaptive Patch Features for Object Class Recognition with Learned Hierarchical Models
We present a hierarchical generative model for object recognition that is constructed by weakly-supervised learning. A key component is a novel, adaptive patch feature whose width...
Fabien Scalzo, Justus H. Piater
3DPVT
2006
IEEE
247views Visualization» more  3DPVT 2006»
13 years 9 months ago
Contour-Based Object Detection in Range Images
This paper presents a novel object recognition approach based on range images. Due to its insensitivity to illumination, range data is well suited for reliable silhouette extracti...
Stefan Stiene, Kai Lingemann, Andreas Nüchter...
MVA
2007
101views Computer Vision» more  MVA 2007»
13 years 5 months ago
A Novel Approach to Eigenpalm Features Using Feature-Partitioning Framework
Eigenpalms, a well-known approach, extracts features from palmprint images using conventional PCA technique. However eigenpalms does not exploit neighbourhood (local) information ...
Kadappagari Vijaya Kumar, Atul Negi