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IJCV
2000
164views more  IJCV 2000»
14 years 9 months ago
Probabilistic Modeling and Recognition of 3-D Objects
This paper introduces a uniform statistical framework for both 3-D and 2-D object recognition using intensity images as input data. The theoretical part provides a mathematical too...
Joachim Hornegger, Heinrich Niemann
CVPR
2012
IEEE
13 years 6 days ago
Example-based 3D object reconstruction from line drawings
Recovering 3D geometry from a single 2D line drawing is an important and challenging problem in computer vision. It has wide applications in interactive 3D modeling from images, c...
Tianfan Xue, Jianzhuang Liu, Xiaoou Tang
ICIP
2005
IEEE
15 years 11 months ago
Learning-based super-resolution of 3D face model
Super resolution technique could produce a higher resolution image than the originally captured one. However, nearly all super-resolution algorithms aim at 2D images. In this pape...
Shiqi Peng, Gang Pan, Zhaohui Wu
IBPRIA
2007
Springer
15 years 4 months ago
Mosaicking Cluttered Ground Planes Based on Stereo Vision
Recent stereo cameras provide reliable 3D reconstructions. These are useful for selecting ground-plane points, register them and building mosaics of cluttered ground planes. In thi...
José António Gaspar, Miguel Realpe, ...
CVPR
2006
IEEE
15 years 11 months ago
Multi-Camera Scene Flow by Tracking 3-D Points and Surfels
Scene flow represents the 3-D motion of points in the scene, just as optical flow is related to their 2-D motion in the images. As opposed to classical methods which compute scene...
Frederic Devernay, Diana Mateus, Matthieu Guilbert