eprintid: 724
rev_number: 8
eprint_status: archive
userid: 17
dir: disk0/00/00/07/24
datestamp: 2018-05-27 17:33:59
lastmod: 2018-05-27 17:33:59
status_changed: 2018-05-27 17:33:59
type: report
metadata_visibility: show
creators_name: Patel, R.
creators_name: Brett, Charles
creators_name: Gallimore, Laura
creators_name: Jacobs, Byron
creators_name: Jenkins, Sian
creators_name: Niechcial, Aleksandra
creators_name: Please, C.P.
corp_creators: David Evans
title: Determining An Individual’s 3-Dimensional Body Shape From Two 2-Dimensional Photographic Images
ispublished: pub
subjects: telecom
studygroups: esgi85_v2
companyname: Poikos Ltd.
full_text_status: public
abstract: Poikos are interested in the process of determining an individual’s 3-D body shape from two 2-D images taken with standard hardware such as a camera phone or web cam. The study group addressed two particu- lar issues in the overall process that Poikos would like to improve on, a markerless correction for radial distortion and improved segmentation of the person’s outline from the image. Based on a radial distortion func- tion the study group deduced and implemented an optimization method for finding the function parameters given straight lines in the distorted image. For the segmentation problem, the study group applied Perona- Malik pre-processing to improve edge detection in the image. An open source version of the ‘segmentation by weighted aggregation’ method was applied to the images and shows considerable promise. Together with prior information of the content of the image, this algorithm could provide better results than the current Poikos segmentation method.
date: 2012
citation:   Patel, R. and Brett, Charles and Gallimore, Laura and Jacobs, Byron and Jenkins, Sian and Niechcial, Aleksandra and Please, C.P.  (2012) Determining An Individual’s 3-Dimensional Body Shape From Two 2-Dimensional Photographic Images.  [Study Group Report]     
document_url: http://miis.maths.ox.ac.uk/miis/724/1/ESGI85-Poikos_CaseStudy.pdf