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» Learning Object Shape: From Drawings to Images
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CVPR
2006
IEEE
15 years 4 months ago
Depth from Familiar Objects: A Hierarchical Model for 3D Scenes
We develop an integrated, probabilistic model for the appearance and three-dimensional geometry of cluttered scenes. Object categories are modeled via distributions over the 3D lo...
Erik B. Sudderth, Antonio B. Torralba, William T. ...
TROB
2008
169views more  TROB 2008»
14 years 9 months ago
Visual Servoing Based on Structure From Controlled Motion or on Robust Statistics
Abstract--This paper focuses on the way to achieve accurate visual servoing tasks when the shape of the object being observed as well as the desired image are unknown. More precise...
Christophe Collewet, François Chaumette
ICIP
2001
IEEE
15 years 11 months ago
A new video-object watermarking scheme robust to object manipulation
This paper presents a watermarking scheme for image or video objects. The watermarking of video objects implies different constraints from raw watermarking methods. The mark has t...
Patrick Bas, Benoit M. Macq
ICIAP
2003
ACM
15 years 3 months ago
Detection and recognition of moving objects using statistical motion detection and Fourier descriptors
Object recognition, i. e. classification of objects into one of several known object classes, generally is a difficult task. In this paper we address the problem of detecting an...
Daniel Toth, Til Aach
CVPR
2011
IEEE
14 years 6 months ago
2D Nonrigid Partial Shape Matching Using MCMC and Contour Subdivision
Shape matching has many applications in computer vision, such as shape classification, object recognition, object detection, and localization. In 2D cases, shape instances are 2D c...
Y. Cao, Z. Zhang, I. Czogiel, I. Dryden, S. Wang