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» Bayesian 3D Modeling from Images Using Multiple Depth Maps
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186
Voted
CVPR
2009
IEEE
16 years 9 months ago
D - Clutter: Building object model library from unsupervised segmentation of cluttered scenes
Autonomous systems which learn and utilize a limited visual vocabulary have wide spread applications. Enabling such systems to segment a set of cluttered scenes into objects is ...
Chandra Kambhamettu, Dimitris N. Metaxas, Gowri So...
CVPR
1997
IEEE
15 years 6 months ago
Model-based brightness constraints: on direct estimation of structure and motion
ÐWe describe a new direct method for estimating structure and motion from image intensities of multiple views. We extend the direct methods of Horn and Weldon [18] to three views....
Gideon P. Stein, Amnon Shashua
ACCV
2007
Springer
15 years 8 months ago
Detecting and Segmenting Un-occluded Items by Actively Casting Shadows
We present a simple and practical approach for segmenting un-occluded items in a scene by actively casting shadows. By ’items’, we refer to objects (or part of objects) enclose...
Tze Ki Koh, Amit K. Agrawal, Ramesh Raskar, Steve ...
145
Voted
CHI
2011
ACM
14 years 6 months ago
PhotoCity: training experts at large-scale image acquisition through a competitive game
Large-scale, ground-level urban imagery has recently developed as an important element of online mapping tools such as Google’s Street View. Such imagery is extremely valuable i...
Kathleen Tuite, Noah Snavely, Dun-yu Hsiao, Nadine...
CVPR
2005
IEEE
16 years 4 months ago
Geo-Consistency for Wide Multi-Camera Stereo
This paper presents a new model to overcome the occlusion problems coming from wide baseline multiple camera stereo. Rather than explicitly modeling occlusions in the matching cos...
Marc-Antoine Drouin, Martin Trudeau, Sébast...