TY - GEN
T1 - A visual object recognition system invariant to scale and rotation
AU - Sato, Yasuomi D.
AU - Jitsev, Jenia
AU - Von Der Malsburg, Christoph
PY - 2008/12/1
Y1 - 2008/12/1
N2 - We here address the problem of scale and orientation invariant object recognition, making use of a correspondence-based mechanism, in which the identity of an object represented by sensory signals is determined by matching it to a representation stored in memory. The sensory representation is in general affected by various transformations, notably scale and rotation, thus giving rise to the fundamental problem of invariant object recognition. We focus here on a neurally plausible mechanism that deals simultaneously with identification of the object and detection of the transformation, both types of information being important for visual processing. Our mechanism is based on macrocolumnar units. These evaluate identity- and transformation-specific feature similarities, performing competitive computation on the alternatives of their own subtask, and cooperate to make a coherent global decision for the identity, scale and rotation of the object.
AB - We here address the problem of scale and orientation invariant object recognition, making use of a correspondence-based mechanism, in which the identity of an object represented by sensory signals is determined by matching it to a representation stored in memory. The sensory representation is in general affected by various transformations, notably scale and rotation, thus giving rise to the fundamental problem of invariant object recognition. We focus here on a neurally plausible mechanism that deals simultaneously with identification of the object and detection of the transformation, both types of information being important for visual processing. Our mechanism is based on macrocolumnar units. These evaluate identity- and transformation-specific feature similarities, performing competitive computation on the alternatives of their own subtask, and cooperate to make a coherent global decision for the identity, scale and rotation of the object.
UR - http://www.scopus.com/inward/record.url?scp=58849094153&partnerID=8YFLogxK
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U2 - 10.1007/978-3-540-87536-9_101
DO - 10.1007/978-3-540-87536-9_101
M3 - Conference contribution
AN - SCOPUS:58849094153
SN - 3540875352
SN - 9783540875352
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 991
EP - 1000
BT - Artificial Neural Networks - ICANN 2008 - 18th International Conference, Proceedings
T2 - 18th International Conference on Artificial Neural Networks, ICANN 2008
Y2 - 3 September 2008 through 6 September 2008
ER -