Sciweavers

Free Online Productivity Tools i2Speak i2Symbol i2OCR iTex2Img iWeb2Print iWeb2Shot i2Type iPdf2Split iPdf2Merge i2Bopomofo i2Arabic i2Style i2Image i2PDF iLatex2Rtf Sci2ools

14

CGI
2004
IEEE

favoriteEmaildiscussreport

110views Computer Graphics» more CGI 2004»

Range Image Registration via Probability Field

13 years 8 months ago

Range Image Registration via Probability Field

Download www.stolaf.edu

This paper presents a powerful variant of the ICP (Iterative Closest Point) algorithm for registering range images using a probability field. The probability field (p-field) represents the probability distribution of the surface position. By capitalizing on the properties of the range image, fast construction, compact representation, and efficient query of the p-field can be achieved. Different sensor models are supported by the p-field according to the properties of the range image. Range images can be precisely aligned by maximizing the probability of overlapping surfaces via the p-field.

Haitao Zhang, Olaf A. Hall-Holt, Arie E. Kaufman

Real-time Traffic

CGI 2004 | Computer Graphics | Iterative Closest Point | Probability Field | Range Images |

claim paper

Related Content

» Bayesian Multimodality Nonrigid Image Registration via Conditional Density Estimation

» Markov Random FieldBased Clustering for the Integration of Multiview Range Images

» Linear intensitybased image registration by Markov random fields and discrete optimization

» Efficient Surface Reconstruction from Range Curves

» Progressive Attenuation Fields Fast 2D3D Image Registration Without Precomputation

» Cortical Shift Tracking Using a Laser Range Scanner and Deformable Registration Methods

» Segmentation of 3D Probability Density Fields by Surface Evolution Application to Diffusio...

» Active Mean Fields Solving the Mean Field Approximation in the Level Set Framework

» Incorporating Nonrigid Registration into Expectation Maximization Algorithm to Segment MR ...

Post Info
More Details (n/a)

Added	20 Aug 2010
Updated	20 Aug 2010
Type	Conference
Year	2004
Where	CGI
Authors	Haitao Zhang, Olaf A. Hall-Holt, Arie E. Kaufman

Comments (0)