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» Generic Scene Recovery Using Multiple Images
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CVPR
2011
IEEE
13 years 5 months ago
Contour Based Joint Clustering of Multiple Segmentations
We present an unsupervised, shape-based method for joint clustering of multiple image segmentations. Given two or more closely-related images, such as nearby frames in a video seq...
Daniel Glasner, Shiv Vitaladevuni, Ronen Basri
ACCV
2006
Springer
14 years 3 months ago
Visual Surveillance Using Less ROIs of Multiple Non-calibrated Cameras
With a large number of surveillance cameras, it is not an easy task to determine which camera should be monitored and which region of the camera images should be checked so that al...
Takashi Nishizaki, Yoshinari Kameda, Yuichi Ohta
VR
2002
IEEE
261views Virtual Reality» more  VR 2002»
14 years 2 months ago
VizWear-3D: A Wearable 3-D Annotation System Based on 3-D Object Tracking Using a Condensation Algorithm
We have developed a method for recognizing and tracking known three-dimensional objects in scene images captured from a user’s viewpoint. The method uses multiple color histogra...
Takashi Okuma, Takeshi Kurata, Katsuhiko Sakaue
ICIP
2008
IEEE
14 years 4 months ago
Globally optimal solution to exploit rigidity when recovering structure from motion under occlusion
Widely used SVD-based matrix factorization approaches to the recovery of 3D rigid structure from motion (SFM), require a set of feature points to be visible in a set of images. Wh...
Pedro M. Q. Aguiar, João M. F. Xavier, Mark...
ECCV
2002
Springer
14 years 11 months ago
Automatic Camera Calibration from a Single Manhattan Image
We present a completely automatic method for obtaining the approximate calibration of a camera (alignment to a world frame and focal length) from a single image of an unknown scene...
J. Deutscher, Michael Isard, John MacCormick