Marching cubes: A high resolution 3D surface construction algorithm
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Representing stereo data with the Delaunay triangulation
Artificial Intelligence
A signal processing approach to fair surface design
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
A volumetric method for building complex models from range images
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Multiple view geometry in computer vision
Multiple view geometry in computer vision
Match Propogation for Image-Based Modeling and Rendering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic scene structure and camera motion using a catadioptric system
Computer Vision and Image Understanding
Detailed Real-Time Urban 3D Reconstruction from Video
International Journal of Computer Vision
International Journal of Computer Vision
Manifold surface reconstruction of an environment from sparse Structure-from-Motion data
Computer Vision and Image Understanding
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This paper presents a method to reconstruct a surface from images of a scene taken by an equiangular catadioptric camera. Such a camera is convenient for several reasons: it is low cost, and almost all visible parts of the scene are projected in a single image. Firstly, the camera parameters and a sparse cloud of 3d points are simultaneously estimated. Secondly, a triangulated surface is robustly estimated from the cloud. Both steps are automatic. Experiments are provided from hundreds of photographs taken by a pedestrian. In contrast to other methods working in similar experimental conditions, ours provides a manifold surface in spite of the difficult (passive and sparse) data.