What question did this study set out to answer?

The aim is to improve feature detection and tracking in images using a joint shape and texture appearance model.

January 1, 2006

Feature Detection and Tracking with Constrained Local Models

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Randomized trial demonstrates improved feature detection accuracy in human faces, suggesting better tracking methods.

The aim is to improve feature detection and tracking in images using a joint shape and texture appearance model.
Developed a model matching method using joint shape and texture appearance.
Applied the Constrained Local Model algorithm to human face images iteratively to optimize shape parameters.
Tested algorithms on publicly available face datasets and challenging in-car sequences.
Demonstrated improved localisation accuracy on two face datasets.
Achieved enhanced tracking performance on in-car face sequences compared to original algorithms.

Cristinacce et al. (2006) studied this question.

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