Three-dimensional computer vision: a geometric viewpoint
Three-dimensional computer vision: a geometric viewpoint
Artificial Intelligence - Special volume on computer vision
Accurate natural surface reconstruction from polynocular stereo
Confluence of computer vision and computer graphics
International Journal of Computer Vision
Multiple view geometry in computer visiond
Multiple view geometry in computer visiond
Robot Vision
Digital Image Processing
3D Model Acquisition from Extended Image Sequences
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume II - Volume II
Towards real-time stereo employing parallel algorithms for edge-based and dense stereo matching
CAMP '95 Proceedings of the Computer Architectures for Machine Perception
Metric calibration of a stereo rig
VSR '95 Proceedings of the IEEE Workshop on Representation of Visual Scenes
3D Models of Architectural Scenes from Uncalibrated Images and Vanishing Points
ICIAP '99 Proceedings of the 10th International Conference on Image Analysis and Processing
Finding Edges and Lines in Images
Finding Edges and Lines in Images
Constructing Virtual Worlds Using Dense Stereo
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
A low-cost model acquisition system for computer graphics applications
ICCS'03 Proceedings of the 2003 international conference on Computational science: PartIII
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Most 3D objects in computer graphics are represented as polygonal mesh models. Though techniques like image-based rendering are gaining popularity, a vast majority of applications in computer graphics and animation use such polygonal meshes for representing and rendering 3D objects. High quality mesh models are usually generated through 3D laser scanning techniques. However, even the inexpensive laser scanners cost tens of thousands of dollars and it is difficult for researchers in computer graphics to buy such systems just for model acquisition. In this paper, we describe a simple model acquisition system built from web cams or digital cameras. This low-cost system gives researchers an opportunity to capture and experiment with reasonably good quality 3D models. Our system uses standard techniques from computer vision and computational geometry to build 3D models.