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» Learning Hierarchical Models of Scenes, Objects, and Parts
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BC
2008
208views more  BC 2008»
14 years 10 months ago
Through a barn owl's eyes: interactions between scene content and visual attention
Abstract In this study we set to investigate visual attention properties of freely behaving barn owls using a miniature wireless camera attached to their heads. The tubular eye str...
Shay Ohayon, Wolf Harmening, Hermann Wagner, Ehud ...
BC
2006
149views more  BC 2006»
14 years 10 months ago
Learning invariant object recognition in the visual system with continuous transformations
Abstract The cerebral cortex utilizes spatiotemporal continuity in the world to help build invariant representations. In vision, these might be representations of objects. The temp...
Simon M. Stringer, G. Perry, Edmund T. Rolls, J. H...
CVPR
2012
IEEE
13 years 7 days ago
From Pictorial Structures to deformable structures
Pictorial Structures (PS) define a probabilistic model of 2D articulated objects in images. Typical PS models assume an object can be represented by a set of rigid parts connecte...
Silvia Zuffi, Oren Freifeld, Michael J. Black
UAI
2004
14 years 11 months ago
Recovering Articulated Object Models from 3D Range Data
We address the problem of unsupervised learning of complex articulated object models from 3D range data. We describe an algorithm whose input is a set of meshes corresponding to d...
Dragomir Anguelov, Daphne Koller, Hoi-Cheung Pang,...
CVPR
2010
IEEE
15 years 3 months ago
Many-to-one Contour Matching for Describing and Discriminating Object Shape
We present an object recognition system that locates an object, identifies its parts, and segments out its contours. A key distinction of our approach is that we use long, salien...
Praveen Srinivasan, Qihui Zhu, Jianbo Shi