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Normalization of Active Appearance Models for Fish Species Identification
2011
ISRN Signal Processing
In recent years, automatic visual coral reef monitoring has been proposed to solve the demerits of manual monitoring techniques. This paper proposes a novel method to reduce the computational cost of the standard Active Appearance Model (AAM) for automatic fish species identification by using an original multiclass AAM. The main novelty is the normalization of species-specific AAMs using techniques tailored to meet with fish species identification. Shape models associated to species-specific
doi:10.5402/2011/103293
fatcat:cqwi3646k5gyzidiuvywvjord4