Visual reconstruction
The theory and practice of Bayesian image labeling
International Journal of Computer Vision
Parallel and deterministic algorithms from MRFs: surface reconstruction and integration
ECCV 90 Proceedings of the first european conference on Computer vision
Fast Approximate Energy Minimization via Graph Cuts
IEEE Transactions on Pattern Analysis and Machine Intelligence
A guided tour to virtual Sagalassos
Proceedings of the 2001 conference on Virtual reality, archeology, and cultural heritage
A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
International Journal of Computer Vision
Stereo Matching Using Belief Propagation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Spacetime Stereo: A Unifying Framework for Depth from Triangulation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Instant Scene Modeler for Crime Scene Reconstruction
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops - Volume 03
Towards Urban 3D Reconstruction from Video
3DPVT '06 Proceedings of the Third International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT'06)
Scan registration for autonomous mining vehicles using 3D-NDT: Research Articles
Journal of Field Robotics - Special Issue on Mining Robotics
Automated avatar creation for 3D games
Future Play '07 Proceedings of the 2007 conference on Future Play
Detailed 3D Reconstruction of Large-Scale Heritage Sites with Integrated Techniques
IEEE Computer Graphics and Applications
An effective method for 3D geological modeling with multi-source data integration
Computers & Geosciences
Field Testing of an Integrated Surface/Subsurface Modeling Technique for Planetary Exploration
International Journal of Robotics Research
KinectFusion: Real-time dense surface mapping and tracking
ISMAR '11 Proceedings of the 2011 10th IEEE International Symposium on Mixed and Augmented Reality
Enforcing temporal consistency in real-time stereo estimation
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
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Algorithms for stereo video image processing typicaly assume that the various tasks; calibration, static stereo matching, and egomotion are independent black boxes. In particular, the task of computing disparity estimates is normally performed independently of ongoing egomotion and environmental recovery processes. Can information from these processes be exploited in the notoriously hard problem of disparity field estimation? Here we explore the use of feedback from the environmental model being constructed to the static stereopsis task. A prior estimate of the disparity field is used to seed the stereomatching process within a probabilistic framework. Experimental results on simulated and real data demonstrate the potential of the approach.