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» 3D Reconstruction Using Labeled Image Regions
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ACCV
2007
Springer
15 years 4 months ago
Evolving Measurement Regions for Depth from Defocus
Depth from defocus (DFD) is a 3D recovery method based on estimating the amount of defocus induced by finite lens apertures. Given two images with different camera settings, the ...
Scott McCloskey, Michael S. Langer, Kaleem Siddiqi
ICRA
2003
IEEE
135views Robotics» more  ICRA 2003»
15 years 3 months ago
Visual servoing based on dynamic vision
This paper deals with the way to achieve positioning tasks by visual servoing in the case of planar and motionless objects whose shape is unknown. In fact, we consider here comple...
Ali Alhaj, Christophe Collewet, François Ch...
CVPR
2010
IEEE
15 years 5 months ago
Finding Nemo: Deformable Object Class Modelling using Curve Matching
An image search for “clownfish” yields many photos of clownfish, each of a different individual of a different 3D shape in a different pose. Yet, to the human observer, this...
Mukta Prasad, Andrew Fitzgibbon
BMVC
2010
14 years 8 months ago
Classifying Textile Designs using Region Graphs
Markov random field pixel labelling is often used to obtain image segmentations in which each segment or region is labelled according to its attributes such as colour or texture. ...
Wei Jia, Stephen J. McKenna, Annette A. Ward, Keit...
SMI
2007
IEEE
208views Image Analysis» more  SMI 2007»
15 years 4 months ago
A Partition-of-Unity Based Algorithm for Implicit Surface Reconstruction Using Belief Propagation
In this paper, we propose a new algorithm for the fundamental problem of reconstructing surfaces from a large set of unorganized 3D data points. The local shapes of the surface ar...
Yi-Ling Chen, Shang-Hong Lai