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CVPR
2005
IEEE
16 years 9 months ago
Discriminative Learning of Markov Random Fields for Segmentation of 3D Scan Data
We address the problem of segmenting 3D scan data into objects or object classes. Our segmentation framework is based on a subclass of Markov Random Fields (MRFs) which support ef...
Dragomir Anguelov, Benjamin Taskar, Vassil Chatalb...
CVPR
2006
IEEE
16 years 9 months ago
Vessel Crawlers: 3D Physically-based Deformable Organisms for Vasculature Segmentation and Analysis
We present a novel approach to the segmentation and analysis of vasculature from volumetric medical image data. Our method is an adoption and significant extension of deformable o...
Chris McIntosh, Ghassan Hamarneh
ICRA
2009
IEEE
143views Robotics» more  ICRA 2009»
16 years 1 months ago
Revisiting uncertainty analysis for optimum planes extracted from 3D range sensor point-clouds
—In this work, we utilize a recently studied more accurate range noise model for 3D sensors to derive from scratch the expressions for the optimum plane which best fits a point-...
Kaustubh Pathak, Narunas Vaskevicius, Andreas Birk...
ICCV
2007
IEEE
16 years 1 months ago
Scale-Dependent 3D Geometric Features
Three-dimensional geometric data play fundamental roles in many computer vision applications. However, their scale-dependent nature, i.e. the relative variation in the spatial ext...
John Novatnack, Ko Nishino
CGI
1998
IEEE
15 years 11 months ago
Virtual 3D Sculpturing with a Parametric Hand Surface
Many techniques have been developed for 3D object deformation. These techniques have been widely used in most CAD/CAM systems. Intuitive while efficient methods for interactive 3D...
Janis P. Y. Wong, Rynson W. H. Lau, Lizhuang Ma