A Practical System for Modelling Body Shapes from Single View Measurements
Author(s) -
Yu Chen,
Duncan A. Robertson,
Roberto Cipolla
Publication year - 2011
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5244/c.25.82
Subject(s) - computer science , computer vision , probabilistic logic , artificial intelligence , gaussian , rectification , image rectification , computer graphics (images) , engineering , physics , quantum mechanics , voltage , electrical engineering
This paper describes an interactive system for quickly modelling 3D body shapes from a single image. It provides the user with a convenient way to obtain their 3D body shapes so as to try on virtual garments online. For the ease of use, we first introduce a novel interface for users to conveniently extract anthropometric measurements from a single photo, while using readily available scene cues for automatic image rectification. Then, we propose a unified probabilistic framework using Gaussian processes, which predict the body parameters from input measurements while correcting the aspect ratio ambiguity resulting from photo rectification. Extensive experiments and user studies have supported the efficacy of our system. This system is now being exploited commercially online 1 .
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