Multiple hypotheses image segmentation and classification with application to dietary assessment

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Multiple hypotheses image segmentation and classification with application to dietary assessment

We propose a method for dietary assessment to automatically identify and locate food in a variety of images captured during controlled and natural eating events. Two concepts are combined to achieve this: a set of segmented objects can be partitioned into perceptually similar object classes based on...

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Bibliographic Details
Main Authors:	Zhu, F., Bosch, M., Khanna, N., Boushey, Carol, Delp, E.
Format:	Journal Article
Published:	Institute of Electrical and Electronics Engineers 2015
Online Access:	http://hdl.handle.net/20.500.11937/50889

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