Body Shape Recognition for Online Fashion
Lead Research Organisation:
University of Surrey
Department Name: Vision Speech and Signal Proc CVSSP
Abstract
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People |
ORCID iD |
| Adrian Hilton (Principal Investigator) |
Publications
Alexandros Neophytou (Author)
(2013)
3D Human Body Shape Estimation and Classification for Online Fashion
Alexandros Neophytou (Author)
(2013)
Shape Mate: A Virtual Tape Measure
Joe Kilner (Author)
(2012)
3D Scanning with Multiple Depth Sensors
Neophytou A
(2014)
A Layered Model of Human Body and Garment Deformation
Neophytou A
(2012)
Articulated Motion and Deformable Objects
Neophytou A
(2013)
Shape and Pose Space Deformation for Subject Specific Animation
| Description | The primary advance achieved in this project is the introduction of a method to measure and classify human body shape from a single image capture on a mobile device. This technology has been deployed and evaluated as a mobile app to allow clothing recommendation for online retail. Key contributions of the research include: (1) Novel learnt representations of human body shape and pose variation from a database of 3D body scans. (2) Robust reconstruction of human shape from a single image with unknown camera calibration. (3) Statistical model based human segmentation from images of people in natural scenes. (4) Classification of human body shape using image-based reconstruction. (5) Measurement of human shape dimensions from a single image for clothing size recommendation. (6) Development of a mobile app allowing body shape classification and measurement from a single image captured on a mobile device. (7) A low-cost system for human body scanning using multiple Kinect RGBD sensors to capture a database of 3D body shape. The application for human body shape classification and measurement has been integrated with an online system for clothing recommendation developed by the London College of Fashion as part of the project. This system has been evaluated for in-store and online clothing recommendation with high-street retailers. |
| Exploitation Route | Primary application: Online clothing retail. Secondary applications: Body shape measurement for health and fitness applications. Technology for estimation and classification of human body shape from a single image has attract considerable interest for commercialisation from online and high-street retailers internationally. The mobile app is currently under discussion for licensing. This research is also the focus of further development and technology transfer. |
| Sectors | Digital/Communication/Information Technologies (including Software),Retail,Security and Diplomacy |
| URL | http://cvssp.org/Personal/AdrianHilton |
| Description | This project introduced methods for body shape measurement from a single image. This method was used to develop a mobile app for clothing recommendation for use in online retail. |
| First Year Of Impact | 2013 |
| Sector | Creative Economy,Digital/Communication/Information Technologies (including Software),Retail |
| Impact Types | Cultural,Societal,Economic |
| Title | Multiview and 4D Video |
| Description | Multiple view video datasets and reconstructed 4D models |
| Type Of Material | Database/Collection of data |
| Provided To Others? | Yes |
| Impact | Data available is used by over 300 research groups worldwide. It is considered the benchmark dataset for research in this field. |
| URL | http://cvssp.org/data/cvssp3d/ |
| Description | BodyMetrics |
| Organisation | Body Metrics |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Methods for body shape measurement from images |
| Collaborator Contribution | Access to data of body scans |
| Impact | research publications and tools |
| Start Year | 2014 |
| Description | Numerion |
| Organisation | Numerion Software Limited |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Validation of physics based cloth simulation against real cloth measurements |
| Collaborator Contribution | Physics based cloth simulation expertise |
| Impact | Physically validated cloth simulation tools |
| Start Year | 2014 |
| Description | Sony Broadcast and Professional Europe |
| Organisation | SONY |
| Department | Sony Broadcast and Professional Europe |
| Country | United Kingdom |
| Sector | Private |
| Start Year | 2004 |