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Human face anthropometric measurements using consumer depth camera

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dc.contributor.author Alavani, G.K.
dc.contributor.author Kamat, V.V.
dc.date.accessioned 2016-07-22T07:44:53Z
dc.date.available 2016-07-22T07:44:53Z
dc.date.issued 2015
dc.identifier.citation 5. Nat. Conf. Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), Patna, India. 2015; 1-4. en_US
dc.identifier.uri http://dx.doi.org/10.1109/NCVPRIPG.2015.7490001
dc.identifier.uri http://irgu.unigoa.ac.in/drs/handle/unigoa/4416
dc.description.abstract Human face anthropometric measurements are used in forensics, orthodontics, face modelling and many other domains, wherein distance between set of facial landmarks play an important role to make inferences. 3D facial data captured using specialized acquisition methods can be used to reduce the time and tedious task involved in order to compute these measurements. The proposed method is developed to compute fifteen canonical linear measurements between facial landmarks using Kinect camera. Results obtained from this system are compared with the traditional method of measurement using digital Vernier caliper. The experimental results indicate that measurements using RGB-D data obtained from Kinect are good enough for a quick preliminary assessment of the subject as compared to traditional method. en_US
dc.publisher IEEE en_US
dc.subject Computer Science and Technology en_US
dc.title Human face anthropometric measurements using consumer depth camera en_US
dc.type Conference article en_US


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