计算机工程与应用2012，Vol.48Issue(34)：203-206,4.DOI:10.3778/j.issn.1002-8331.1106-0440
利用立体视觉的室内场景分类
Indoor scene classification based on stereo vision
摘要
Abstract
The aim of scene classification is to build a semantic context for various tasks of visual processing, especially for target recognition. Binocular vision system is now widely equipped with mobile intelligent robots. However, monocular images are currently mostly used for scene classification task. One can obtain lower classification performance by using features extracted from monocular image as the complexity of natural scene. In this paper, an approach based on binocular stereo vision for scene classification is developed. A feature descriptor of indoor scene is proposed, that is a vector extracted from planes fitting parameters in several specified regions. The scene is classified as open space and close space classes using feature extracted from disparity map with nearest neighbor method. Both open space and close space scene are classified into some subclasses using Gist and proposed feature descriptor. To test this approach, a dataset of four indoor scenes categories is created. The experiments show that this approach achieves excellent classification performance.关键词
立体视觉/室内场景/空间包络模型/分类Key words
stereo vision/ indoor scene/ surround model/ classification分类
信息技术与安全科学引用本文复制引用
张蕾,赵海霞,普杰信,刘宏..利用立体视觉的室内场景分类[J].计算机工程与应用,2012,48(34):203-206,4.基金项目
河南省基础与前沿技术研究计划项目(No.102300410113) （No.102300410113）
河南省重点科技攻关项目(No.092102210293). （No.092102210293）
