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» Computing Visual Attention from Scene Depth
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ICPR
2010
IEEE
15 years 1 months ago
Building a Videorama with Shallow Depth of Field
This paper presents a new automatic approach to building a videorama with shallow depth of field. We stitch the static background of video frames and render the dynamic foreground...
Soonmin Bae, Hao Jiang
PAMI
2010
192views more  PAMI 2010»
14 years 8 months ago
Esaliency (Extended Saliency): Meaningful Attention Using Stochastic Image Modeling
Computer-vision attention processes allocate computational resources to different parts of visual input and can lead to faster object recognition and image analysis. This paper p...
Tamar Avraham, Michael Lindenbaum
GRAPHITE
2003
ACM
15 years 3 months ago
Varying rendering fidelity by exploiting human change blindness
The complexity of most virtual environments prevents them being rendered in real time even on modern graphics hardware. Knowledge of the visual system of the user viewing the envi...
Kirsten Cater, Alan Chalmers, Colin Dalton
VRST
2005
ACM
15 years 3 months ago
Rapid scene modelling, registration and specification for mixed reality systems
Many mixed-reality systems require real-time composition of virtual objects with real video. Such composition requires some description of the virtual and real scene geometries an...
Russell M. Freeman, Anthony Steed, Bin Zhou
ECCV
2004
Springer
15 years 11 months ago
Scene and Motion Reconstruction from Defocused and Motion-Blurred Images via Anisotropic Diffusion
We propose a solution to the problem of inferring the depth map, radiance and motion of a scene from a collection of motion-blurred and defocused images. We model motion-blur and d...
Paolo Favaro, Martin Burger, Stefano Soatto