Google Tech TalksAugust 9, 2007ABSTRACTIn this talk, I will propose a novel algorithm for calibrated multi-view stereopsis that outputs a (quasi) dense set of rectangular patches covering the surfaces visible in the input images. This algorithm does not require any initialization in the form of a bounding volume, and it detects and discards automatically outliers and obstacles. It does not perform any smoothing across nearby features, yet is currently the top performer in terms of both coverage and accuracy for four of the six benchmarkdat asets presented in the Multi-View Stereo Evaluation (http://vision.middlebury.edu/mview/eval/). The keys to its performance are effective techniques for...
Questions about High Fidelity Image-Based Modeling
Want more info about High Fidelity Image-Based Modeling?
Get free advice from education experts and Noodle community members.