Space-Variant Computer Vision: A Graph-Theoretic Approach Export

@phdthesis{citeulike:1281767, abstract = {Space-variant sampling of visual input is ubiquitous in the higher vertebrate brain, because a large input space may be processed with high peak precision without requiring an unacceptably large brain mass. Space-variant sampling has been studied in computer vision for decades. A major obstacle to exploiting this architecture in machines, and understanding its role in biology, is the lack of algorithms that generalize beyond regular samplings. Most image processing algorithms implicitly assume...}, address = {Boston, MA}, author = {Grady, Leo}, citeulike-article-id = {1281767}, citeulike-linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.4.5744}, keywords = {graph, image, segmentation}, posted-at = {2007-05-07 13:08:49}, priority = {0}, school = {Boston University}, title = {Space-Variant Computer Vision: A Graph-Theoretic Approach}, url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.4.5744}, year = {2004} }

TY - THES ID - citeulike:1281767 L3 - citeulike-article-id:1281767 N2 - Space-variant sampling of visual input is ubiquitous in the higher vertebrate brain, because a large input space may be processed with high peak precision without requiring an unacceptably large brain mass. Space-variant sampling has been studied in computer vision for decades. A major obstacle to exploiting this architecture in machines, and understanding its role in biology, is the lack of algorithms that generalize beyond regular samplings. Most image processing algorithms implicitly assume... AD - Boston, MA TI - Space-Variant Computer Vision: A Graph-Theoretic Approach PB - Boston University KW - graph KW - image KW - segmentation AU - Grady, Leo PY - 2004/// UR - http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.4.5744 ER -