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» Computing Visual Attention from Scene Depth
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129
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ICCV
2009
IEEE
15 years 1 months ago
Unsupervised learning of high-order structural semantics from images
Structural semantics are fundamental to understanding both natural and man-made objects from languages to buildings. They are manifested as repeated structures or patterns and are...
Jizhou Gao, Yin Hu, Jinze Liu, Ruigang Yang
174
Voted
CVPR
2011
IEEE
14 years 11 months ago
Object Stereo - Joint Stereo Matching and Object Segmentation
This paper presents a method for joint stereo matching and object segmentation. In our approach a 3D scene is represented as a collection of visually distinct and spatially cohere...
Michael Bleyer, Carsten Rother, Pushmeet Kohli, Da...
166
Voted
CVPR
2012
IEEE
13 years 5 months ago
Unsupervised learning of translation invariant occlusive components
We study unsupervised learning of occluding objects in images of visual scenes. The derived learning algorithm is based on a probabilistic generative model which parameterizes obj...
Zhenwen Dai, Jörg Lücke
IROS
2007
IEEE
148views Robotics» more  IROS 2007»
15 years 9 months ago
Trajectory recovery and 3D mapping from rotation-compensated imagery for an airship
— On this paper, inertial orientation measurements are exploited to compensate the rotational degrees of freedom for an aerial vehicle carrying a perspective camera, taking a seq...
Luiz G. B. Mirisola, Jorge Dias, Anibal T. de Alme...
135
Voted
IJCNN
2006
IEEE
15 years 9 months ago
An Architecture for Object-based Saccade Generation using a Biologically Inspired Self-organised Retina
— Our paper presents a fully automated computational mechanism for targeting a space-variant retina based on the highlevel visual content of a scene. Our retina’s receptive fie...
Sanjeeva Balasuriya, Paul Siebert