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Issue No.04 - July/August (2004 vol.24)
pp: 24-33
Miguel Sainz , University of California, Irvine
Renato Pajarola , University of California, Irvine
Albert Mercade , University of California, Irvine
Antonio Susin , Technical University of Catalonia
This article presents a complete automatic pipeline to capture, process, and render point-based models from real objects. The input to the system is a video sequence showing different perspectives of the object to model using a variety of imaging devices ranging from Web cams to high-end digital camcorders and computer vision cameras. The proposed solution starts with a calibration of the input sequence based on feature detection and a divide and conquer linear calibration technique. The calibration information is then used to obtain a cloud of points of the surface of the object using a method inspired by the visual hull and voxel carving techniques. Then a postprocess of the points is performed to smooth the reconstructed points positions and normal orientations. Finally a hardware accelerated multiresolution point-based rendering pipeline is used to obtain high quality images of the reconstructed objects at interactive frame rates. Finally some results of the different stages of the pipeline are presented.
point based models, camera calibration, voxel carving, point based rendering
Miguel Sainz, Renato Pajarola, Albert Mercade, Antonio Susin, "A Simple Approach for Point-Based Object Capturing and Rendering", IEEE Computer Graphics and Applications, vol.24, no. 4, pp. 24-33, July/August 2004, doi:10.1109/MCG.2004.1
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