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17 years 2 months ago
Markov Random Field Modeling in Computer Vision
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
Stan Z. Li
DGCI
2006
Springer
15 years 7 months ago
A 3D Live-Wire Segmentation Method for Volume Images Using Haptic Interaction
Abstract. Designing interactive segmentation methods for digital volume images is difficult, mainly because efficient 3D interaction is much harder to achieve than interaction with...
Filip Malmberg, Erik Vidholm, Ingela Nyström
WACV
2005
IEEE
15 years 9 months ago
Real-Time Detection of Independent Motion using Stereo
We describe a system that detects independently moving objects from a mobile platform in real time using a calibrated stereo camera. Interest points are first detected and tracke...
Motilal Agrawal, Kurt Konolige, Luca Iocchi
ISMAR
2003
IEEE
15 years 9 months ago
3D Reconstruction of Stereo Images for Interaction between Real and Virtual Worlds
Mixed reality is different from the virtual reality in that users can feel immersed in a space which is composed of not only virtual but also real objects. Thus, it is essential t...
Hansung Kim, Seung-Jun Yang, Kwanghoon Sohn
CVPR
2003
IEEE
16 years 6 months ago
Spacetime Stereo: A Unifying Framework for Depth from Triangulation
Depth from triangulation has traditionally been treated in a number of separate threads in the computer vision literature, with methods like stereo, laser scanning, and coded stru...
James Davis, Ravi Ramamoorthi, Szymon Rusinkiewicz