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» Deriving Intrinsic Images from Image Sequences
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ECCV
2002
Springer
16 years 8 months ago
DEFORMOTION: Deforming Motion, Shape Average and the Joint Registration and Segmentation of Images
What does it mean for a deforming object to be "moving" (see Fig. 1)? How can we separate the overall motion (a finite-dimensional group action) from the more general de...
Stefano Soatto, Anthony J. Yezzi
DICTA
2003
15 years 8 months ago
Testing for Curves in a Binary Image
Abstract. Curve detection is viewed as a process of hypothesis generation and hypothesis testing. Of the two, hypothesis generation has received much attention and many sophisticat...
Y. C. Cheng
IROS
2007
IEEE
101views Robotics» more  IROS 2007»
16 years 26 days ago
Optimizing image and camera trajectories in robot vision control using on-line boosting
— In this paper, we present a novel boosted robot vision control algorithm. The method utilizes on-line boosting to produce a strong vision-based robot control starting from two ...
A. H. Abdul Hafez, Enric Cervera, C. V. Jawahar
CRV
2005
IEEE
181views Robotics» more  CRV 2005»
16 years 5 days ago
Video with Ground-Truth for Validation of Visual Registration, Tracking and Navigation Algorithms
A fundamental task in computer vision is that of determining the position and orientation of a moving camera relative to an observed object or scene. Many such visual tracking alg...
Rustam Stolkin, Alistair Greig, John Gilby
ICIP
2001
IEEE
16 years 8 months ago
Supervised segmentation and tracking of nonrigid objects using a "mixture of histograms" model
Segmentation and tracking of objects in video sequences is important for a number of applications. In the supervised variant, segmentation can be achieved by modelling the probabi...
Mark Everingham, Barry T. Thomas