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Using Distance Estimation and Deep Learning to Simplify Calibration in Food Calorie Measurement

Using Distance Estimation and Deep Learning to Simplify Calibration in Food Calorie Measurement

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2081746466

Using Distance Estimation and Deep Learning to Simplify Calibration in Food Calorie Measurement

About this item

Full title

Using Distance Estimation and Deep Learning to Simplify Calibration in Food Calorie Measurement

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2015-03

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

High calorie intake in the human body on the one hand, has proved harmful in numerous occasions leading to several diseases and on the other hand, a standard amount of calorie intake has been deemed essential by dieticians to maintain the right balance of calorie content in human body. As such, researchers have proposed a variety of automatic tools...

Alternative Titles

Full title

Using Distance Estimation and Deep Learning to Simplify Calibration in Food Calorie Measurement

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2081746466

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2081746466

Other Identifiers

E-ISSN

2331-8422

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