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» Computing Visual Attention from Scene Depth
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CVPR
2000
IEEE
16 years 2 months ago
On the Number of Samples Needed in Light Field Rendering with Constant-Depth Assumption
While several image-based rendering techniques have been proposed to successfully render scenes/objects from a large collection (e.g., thousands) of images without explicitly reco...
Zhouchen Lin, Heung-Yeung Shum
101
Voted
APGV
2010
ACM
266views Visualization» more  APGV 2010»
15 years 4 months ago
Horizon estimation: perceptual and computational experiments
The human visual system is able to quickly and robustly infer a wealth of scene information – the scene "gist" – already after 100 milliseconds of image presentation...
Christian Herdtweck, Christian Wallraven
PAMI
2011
14 years 3 months ago
CENTRIST: A Visual Descriptor for Scene Categorization
—CENTRIST (CENsus TRansform hISTogram), a new visual descriptor for recognizing topological places or scene categories, is introduced in this paper. We show that place and scene ...
Jianxin Wu, James M. Rehg
95
Voted
ISVC
2009
Springer
15 years 7 months ago
Scene Categorization by Introducing Contextual Information to the Visual Words
In this paper, we propose a novel scene categorization method based on contextual visual words. In this method, we extend the traditional ‘bags of visual words’ model by introd...
Jianzhao Qin, Nelson H. C. Yung
174
Voted
CVPR
2009
IEEE
16 years 7 months ago
Towards Total Scene Understanding: Classification, Annotation and Segmentation in an Automatic Framework
Given an image, we propose a hierarchical generative model that classifies the overall scene, recognizes and segments each object component, as well as annotates the image with ...
Fei-Fei Li 0002, Li-Jia Li, Richard Socher