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» Bayesian 3D Modeling from Images Using Multiple Depth Maps
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MICAI
2004
Springer
14 years 1 months ago
An Improved ICP Algorithm Based on the Sensor Projection for Automatic 3D Registration
Three-dimensional (3D) registration is the process aligning the range data sets form different views in a common coordinate system. In order to generate a complete 3D model, we nee...
Sang-Hoon Kim, Yong Ho Hwang, Hyun-Ki Hong, Min-Hy...
ICCV
2011
IEEE
12 years 7 months ago
Kinecting the dots: Particle Based Scene Flow from depth sensors
The motion field of a scene can be used for object segmentation and to provide features for classification tasks like action recognition. Scene flow is the full 3D motion fiel...
Simon Hadfield, Richard Bowden
ICCV
2007
IEEE
14 years 2 months ago
Action Recognition from Arbitrary Views using 3D Exemplars
In this paper, we address the problem of learning compact, view-independent, realistic 3D models of human actions recorded with multiple cameras, for the purpose of recognizing th...
Daniel Weinland, Edmond Boyer, Rémi Ronfard
AMDO
2006
Springer
13 years 11 months ago
Predicting 3D People from 2D Pictures
Abstract. We propose a hierarchical process for inferring the 3D pose of a person from monocular images. First we infer a learned view-based 2D body model from a single image using...
Leonid Sigal, Michael J. Black
ISMAR
2003
IEEE
14 years 29 days 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