A solution to the next best view problem for automated surface acquisition Export

@article{citeulike:3561598, abstract = {A solution to the \“next best view\” (NBV) problem for automated surface acquisition is presented. The NBV problem is to determine which areas of a scanner's viewing volume need to be scanned to sample all of the visible surfaces of an a priori unknown object and where to position/control the scanner to sample them. A method for determining the unscanned areas of the viewing volume is presented. In addition, a novel representation, positional space, is presented which facilitates a solution to the NBV problem by representing what must be and what can be scanned in a single data structure. The number of costly computations needed to determine if an area of the viewing volume would be occluded from some scanning position is decoupled from the number of positions considered for the NBV, thus reducing the computational cost of choosing one. An automated surface acquisition systems designed to scan all visible surfaces of an a priori unknown object is demonstrated on real objects}, author = {Pito, R.}, booktitle = {Pattern Analysis and Machine Intelligence, IEEE Transactions on}, citeulike-article-id = {3561598}, citeulike-linkout-0 = {http://dx.doi.org/10.1109/34.799908}, citeulike-linkout-1 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=799908}, doi = {10.1109/34.799908}, journal = {Pattern Analysis and Machine Intelligence, IEEE Transactions on}, keywords = {next\_best\_view}, number = {10}, pages = {1016--1030}, posted-at = {2008-11-17 19:45:36}, priority = {2}, title = {A solution to the next best view problem for automated surface acquisition}, url = {http://dx.doi.org/10.1109/34.799908}, volume = {21}, year = {1999} }

TY - JOUR ID - citeulike:3561598 L3 - citeulike-article-id:3561598 N2 - A solution to the “next best view” (NBV) problem for automated surface acquisition is presented. The NBV problem is to determine which areas of a scanner's viewing volume need to be scanned to sample all of the visible surfaces of an a priori unknown object and where to position/control the scanner to sample them. A method for determining the unscanned areas of the viewing volume is presented. In addition, a novel representation, positional space, is presented which facilitates a solution to the NBV problem by representing what must be and what can be scanned in a single data structure. The number of costly computations needed to determine if an area of the viewing volume would be occluded from some scanning position is decoupled from the number of positions considered for the NBV, thus reducing the computational cost of choosing one. An automated surface acquisition systems designed to scan all visible surfaces of an a priori unknown object is demonstrated on real objects IS - 10 JF - Pattern Analysis and Machine Intelligence, IEEE Transactions on EP - 1030 TI - A solution to the next best view problem for automated surface acquisition VL - 21 T2 - Pattern Analysis and Machine Intelligence, IEEE Transactions on SP - 1016 KW - next_best_view AU - Pito, R PY - 1999/// UR - http://dx.doi.org/10.1109/34.799908 ER -