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» Novel image feature alphabets for object recognition
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NIPS
2008
14 years 11 months ago
A "Shape Aware" Model for semi-supervised Learning of Objects and its Context
We present an approach that combines bag-of-words and spatial models to perform semantic and syntactic analysis for recognition of an object based on its internal appearance and i...
Abhinav Gupta, Jianbo Shi, Larry S. Davis
ICASSP
2011
IEEE
14 years 1 months ago
Directional descriptors using zernike moment phases for object orientation estimation in underwater sonar images
Conventional methods for rotation angle estimation are not very robust to variations in object shape or intensity. However in real object recognition scenarios like in underwater ...
Naveen Kumar, Adam C. Lammert, Brendan Englot, Fra...
ECCV
1994
Springer
15 years 11 months ago
Utilizing symmetry in the reconstruction of three-dimensional shape from noisy images
In previous applications, bilateral symmetry of objects was used either as a descriptive feature in domains such as recognition and grasping, or as a way to reduce the complexity o...
Hagit Zabrodsky, Daphna Weinshall
AIPR
2003
IEEE
15 years 3 months ago
Eigenviews for Object Recognition in Multispectral Imaging Systems
We address the problem of representing multispectral images of objects using eigenviews for recognition purposes. Eigenviews have long been used for object recognition and pose es...
Rajeev Ramanath, Wesley E. Snyder, Hairong Qi
ICCV
2005
IEEE
15 years 3 months ago
Object Categorization by Learned Universal Visual Dictionary
This paper presents a new algorithm for the automatic recognition of object classes from images (categorization). Compact and yet discriminative appearance-based object class mode...
John M. Winn, Antonio Criminisi, Thomas P. Minka