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» Learning to Estimate Scenes from Images
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ICIP
2001
IEEE
14 years 10 months ago
Robust estimation of depth and motion using stochastic approximation
The problemof structurefrom motion (SFM)is to extract the three-dimensionalmodel of a moving scene from a sequence of images. Though two images are sufficient to produce a 3D reco...
Rama Chellappa, Amit K. Roy Chowdhury
3DIM
1999
IEEE
14 years 1 months ago
Faithful Recovering of Quadric Surfaces from 3D Range Data
The paper proposes a reliable method for estimating quadric surfaces from 3D range data in the framework of object recognition and localization or object modelling. Instead of est...
Naoufel Werghi, Anthony Ashbrook, Robert B. Fisher...
ICIP
2006
IEEE
14 years 10 months ago
Ghost Removal in High Dynamic Range Images
High dynamic range images may be created by capturing multiple images of a scene with varying exposures. Images created in this manner are prone to ghosting artifacts, which appea...
Ahmet Oguz Akyüz, Erik Reinhard, Erum Arif Kh...
ICIP
2002
IEEE
14 years 10 months ago
Extract highlights from baseball game video with hidden Markov models
In this paper, we describe a statistical method to detect highlights in a baseball game video. The input video is first segmented into scene shots, within which the camera motion ...
Peng Chang, Mei Han, Yihong Gong
IWCM
2004
Springer
14 years 2 months ago
Towards a Multi-camera Generalization of Brightness Constancy
Standard optical flow methods for motion or disparity estimation use a brightness constancy constraint equation (BCCE). This BCCE either handles a moving camera imaging a non-movi...
Hanno Scharr