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» New Features to Identify Computer Generated Images
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CVPR
2000
IEEE
16 years 16 hour ago
Learning in Gibbsian Fields: How Accurate and How Fast Can It Be?
?Gibbsian fields or Markov random fields are widely used in Bayesian image analysis, but learning Gibbs models is computationally expensive. The computational complexity is pronoun...
Song Chun Zhu, Xiuwen Liu
RT
1999
Springer
15 years 2 months ago
Space-Time Hierarchical Radiosity
This paper presents a new hierarchical simulation algorithm allowing the calculation of radiosity solutions for time-dependent scenes where all motion is known a priori. Such solut...
Cyrille Damez, François X. Sillion
ECCV
2010
Springer
15 years 12 days ago
Depth-Encoded Hough Voting for joint object detection and shape recovery
Detecting objects, estimating their pose and recovering 3D shape information is a critical problem in many vision and robotics applications. This paper addresses the above needs by...
ICCV
2003
IEEE
15 years 12 months ago
A Class of Photometric Invariants: Separating Material from Shape and Illumination
We derive a new class of photometric invariants that can be used for a variety of vision tasks including lighting invariant material segmentation, change detection and tracking, a...
Srinivasa G. Narasimhan, Visvanathan Ramesh, Shree...
CGF
2010
135views more  CGF 2010»
14 years 6 months ago
Interactive Rendering of Non-Constant, Refractive Media Using the Ray Equations of Gradient-Index Optics
Existing algorithms can efficiently render refractive objects of constant refractive index. For a medium with a continuously varying index of refraction, most algorithms use the r...
Chen Cao, Zhong Ren, Baining Guo, Kun Zhou