TY - GEN
T1 - Normal form transformation for object recognition based on support vector machines
AU - Sugaya, Shinsuke
AU - Suzuki, Einoshin
PY - 1999/1/1
Y1 - 1999/1/1
N2 - This paper proposes Normal Form Transformation (NFT) as a preprocessing of Support Vector Machines (SVMs). Object recognition from images can be regarded as a fundamental technique in discovery science. Aspect-based recognition with SVMs is effective under constrained situations. However, object recognition from rotated, shifted, magnified or reduced images is a difficult task for simple SVMs. In order to circumvent this problem, we propose NFT, which rotates an image based on low-luminance directed vector and shifts, magnifies or reduces the image based on the object’s maximum horizontal distance and maximum vertical distance. We have applied SVMs with NFT to a database of 7200 images concerning 100 different objects. The recognition rates were over 97% in these experiments except for cases of extreme reduction. These results clearly demonstrate the effectiveness of the proposed approach in aspect-based recognition.
AB - This paper proposes Normal Form Transformation (NFT) as a preprocessing of Support Vector Machines (SVMs). Object recognition from images can be regarded as a fundamental technique in discovery science. Aspect-based recognition with SVMs is effective under constrained situations. However, object recognition from rotated, shifted, magnified or reduced images is a difficult task for simple SVMs. In order to circumvent this problem, we propose NFT, which rotates an image based on low-luminance directed vector and shifts, magnifies or reduces the image based on the object’s maximum horizontal distance and maximum vertical distance. We have applied SVMs with NFT to a database of 7200 images concerning 100 different objects. The recognition rates were over 97% in these experiments except for cases of extreme reduction. These results clearly demonstrate the effectiveness of the proposed approach in aspect-based recognition.
UR - http://www.scopus.com/inward/record.url?scp=84957795813&partnerID=8YFLogxK
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U2 - 10.1007/3-540-46846-3_28
DO - 10.1007/3-540-46846-3_28
M3 - Conference contribution
AN - SCOPUS:84957795813
SN - 354066713X
SN - 9783540667131
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 306
EP - 315
BT - Discovery Science - 2nd International Conference, DS 1999, Proceedings
A2 - Arikawa, Setsuo
A2 - Furukawa, Koichi
PB - Springer Verlag
T2 - 2nd International Conference on Discovery Science, DS 1999
Y2 - 6 December 1999 through 8 December 1999
ER -