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14th IEEE Symposium on Computer-Based Medical Systems (CMBS'01)
Evaluation of Invariant Models for Dolphin Photo-Identification
Bethesda, Maryland
March 26-March 27
ISBN: 0-7695-1004-3
B. N. Araabi, Texas A&M University,
N. Kehtarnavaz, Texas A&M University,
G. Hillman, University of Texas
B. Würsig, Texas A&M University at Galveston
Abstract: Individual identification of dolphins is of much interest to marine mammologists. Natural markings and notches on the trailing edge of the dorsal fin provide an almost unique signature within a study population for individual recognition. Dorsal fin is an almost rigid, planar object, as a result the problem boils down to the planar curve matching. Invariants under three groups of similarity, affine, and projective transformations are examined in this paper. Three families of differential, algebraic, and semi-differential invariants are studied and evaluated for their applicability and performance in dolphin photo-identification. It is observed that under practical conditions, for smooth quasi-rigid curves like trailing edge of the dorsal fin, curvature based matching methods outperform almost all of the other techniques, which offer a higher level of invariance.
Citation:
B. N. Araabi, N. Kehtarnavaz, G. Hillman, B. Würsig, "Evaluation of Invariant Models for Dolphin Photo-Identification," cbms, pp.0203, 14th IEEE Symposium on Computer-Based Medical Systems (CMBS'01), 2001
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