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IJCV
2008
192views more  IJCV 2008»
13 years 8 months ago
Learning to Locate Informative Features for Visual Identification
Object identification (OID) is specialized recognition where the category is known (e.g. cars) and the algorithm recognizes an object's exact identity (e.g. Bob's BMW). ...
Andras Ferencz, Erik G. Learned-Miller, Jitendra M...
MM
2004
ACM
118views Multimedia» more  MM 2004»
14 years 1 months ago
Scene tunnels for seamless virtual tour
This paper proposes a visual representation named scene tunnel to archive and visualize urban scenes for Internet based virtual tour. We scan cityscapes using multiple cameras on ...
Jiang Yu Zheng, Yu Zhou
CVPR
2010
IEEE
14 years 4 months ago
Building and Using a Semantivisual Image Hierarchy
A semantically meaningful image hierarchy can ease the human effort in organizing thousands and millions of pictures (e.g., personal albums), and help to improve performance of en...
Li-Jia Li, Chong Wang, Yongwhan Lim, David Blei, L...
ECCV
1994
Springer
14 years 10 months ago
Non-parametric Local Transforms for Computing Visual Correspondence
Abstract. We propose a new approach to the correspondence problem that makes use of non-parametric local transforms as the basis for correlation. Non-parametric local transforms re...
Ramin Zabih, John Woodfill
IBPRIA
2003
Springer
14 years 1 months ago
A Quadtree-Based Unsupervised Segmentation Algorithm for Fruit Visual Inspection
Many segmentation techniques are available in the literature and some of them have been widely used in different application problems. Most of these segmentation techniques were mo...
Adolfo Martínez Usó