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MOBISYS
2008
ACM
16 years 4 months ago
Sherlock: automatically locating objects for humans
Over the course of a day a human interacts with tens or hundreds of individual objects. Many of these articles are nomadic, relying on human memory to manually index, inventory, o...
Aditya Nemmaluri, Mark D. Corner, Prashant J. Shen...
CVPR
2009
IEEE
1148views Computer Vision» more  CVPR 2009»
16 years 11 months ago
Shape Constrained Figure-Ground Segmentation and Tracking
Global shape information is an effective top-down complement to bottom-up figure-ground segmentation as well as a useful constraint to avoid drift during adaptive tracking. We p...
Zhaozheng Yin, Robert T. Collins
CVPR
2012
IEEE
13 years 6 months ago
Top-down visual saliency via joint CRF and dictionary learning
Top-down visual saliency facilities object localization by providing a discriminative representation of target objects and a probability map for reducing the search space. In this...
Jimei Yang, Ming-Hsuan Yang
CCCG
2010
15 years 5 months ago
On the perimeter of fat objects
We show that the size of the perimeter of (, )-covered objects is a linear function of the diameter. Specifically, for an (, )-covered object O, per(O) c diam(O) sin2 , for a pos...
Prosenjit Bose, Otfried Cheong, Vida Dujmovic
ECCV
1994
Springer
16 years 6 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