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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.