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» Finding Pictures of Objects in Large Collections of Images
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CVPR
2001
IEEE
15 years 11 months ago
Mixtures of Trees for Object Recognition
Efficient detection of objects in images is complicated by variations of object appearance due to intra-class object differences, articulation, lighting, occlusions, and aspect va...
Sergey Ioffe, David A. Forsyth
71
Voted
SIGGRAPH
2000
ACM
15 years 2 months ago
A fast relighting engine for interactive cinematic lighting design
We present new techniques for interactive cinematic lighting design of complex scenes that use procedural shaders. Deep-framebuffers are used to store the geometric and optical in...
Reid Gershbein, Pat Hanrahan
CVPR
2007
IEEE
15 years 11 months ago
Learning and Matching Line Aspects for Articulated Objects
Traditional aspect graphs are topology-based and are impractical for articulated objects. In this work we learn a small number of aspects, or prototypical views, from video data. ...
Xiaofeng Ren
EGH
2010
Springer
14 years 7 months ago
A lazy object-space shading architecture with decoupled sampling
We modify the Reyes object-space shading approach to address two inefficiencies that result from performing shading calculations at micropolygon grid vertices prior to rasterizati...
Christopher A. Burns, Kayvon Fatahalian, William R...
ECCV
2010
Springer
14 years 10 months ago
Location Recognition Using Prioritized Feature Matching
We present a fast, simple location recognition and image localization method that leverages feature correspondence and geometry estimated from large Internet photo collections. Suc...
Yunpeng Li, Noah Snavely, Daniel P. Huttenlocher