title: Finding Objects for Assisting Blind People.
abstract: Computer vision technology has been widely used for blind assistance, such as navigation and wayfinding. However, few camera-based systems are developed for helping blind or visually-impaired people to find daily necessities. In this paper, we propose a prototype system of blind-assistant object finding by camera-based network and matching-based recognition. We collect a dataset of daily necessities and apply Speeded-Up Robust Features (SURF) and Scale Invariant Feature Transform (SIFT) feature descriptors to perform object recognition. Experimental results demonstrate the effectiveness of our prototype system.
authors.forename: Chucai
authors.initials: C
authors.lastname: Yi
authors.forename: Roberto W
authors.initials: RW
authors.lastname: Flores
authors.forename: Ricardo
authors.initials: R
authors.lastname: Chincha
authors.forename: Yingli
authors.initials: Y
authors.lastname: Tian
references.citation: Science. 2005 Nov 4;310(5749):863-6
references.pmid: 16272124
references.citation: Psychol Rev. 1987 Apr;94(2):115-147
references.pmid: 3575582
references.citation: J Exp Psychol. 1969 Jul;81(1):10-5
references.pmid: 5812164
references.citation: Nature. 1996 Jun 6;381(6582):520-2
references.pmid: 8632824