Computational theories of object recognition

@misc{citeulike:1185948, abstract = {This paper examines four current theoretical approaches to the representation and recognition of visual objects: structural descriptions, geometric constraints, multidimensional feature spaces, and shape-space approximation. The strengths and the weaknesses of the theories are considered, with a special focus on their approach to categorization --- a computationally challenging task which is not widely addressed in computer vision (where the stress is rather on the generalization of recognition ...}, author = {Edelman, S. }, citeulike-article-id = {1185948}, keywords = {object, recognition, survey}, posted-at = {2007-03-25 09:08:24}, priority = {3}, title = {Computational theories of object recognition}, url = {http://citeseer.ist.psu.edu/edelman97computational.html}, year = {1997} }

TY - GEN ID - citeulike:1185948 L3 - citeulike-article-id:1185948 N2 - This paper examines four current theoretical approaches to the representation and recognition of visual objects: structural descriptions, geometric constraints, multidimensional feature spaces, and shape-space approximation. The strengths and the weaknesses of the theories are considered, with a special focus on their approach to categorization --- a computationally challenging task which is not widely addressed in computer vision (where the stress is rather on the generalization of recognition ... TI - Computational theories of object recognition KW - object KW - recognition KW - survey AU - Edelman, S PY - 1997/// UR - http://citeseer.ist.psu.edu/edelman97computational.html ER -