A Photo Management System Based on Face Recognition
碩士 === 國立臺北科技大學 === 資訊工程系研究所 === 97 === With the increasing availability of digital cameras, one can easily collect a large number of photos. In this paper, we present a prototype system aimed to achieve efficient management of photos of people. Using current face detection and recognition technolog...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2009
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| Online Access: | http://ndltd.ncl.edu.tw/handle/vt5upc |
| Summary: | 碩士 === 國立臺北科技大學 === 資訊工程系研究所 === 97 === With the increasing availability of digital cameras, one can easily collect a large
number of photos. In this paper, we present a prototype system aimed to achieve
efficient management of photos of people. Using current face detection and
recognition technologies, we provide both automatic and semi-automatic methods to
facilitate the job of associating photos to people. A series of preprocessing methods
are taken to improve recognition rate for faces captured in varying lighting conditions
and poses. We found that a personal photo collection of a single event may contain
only a limited group of people. We can set up a face classifier specific for the group of
people. A threshold scheme separates people not in the group or faces that can not be
confidently identified apart. The organized result helps pick out incorrectly identified
faces. A semi-automatic approach is used to deal with the leftovers by giving three
candidates to choose from. Our proposed system is equipped with comprehensive user
interface designed for these tasks. We conducted a simulation of this usage showing
that it can dramatically reduce the amount of work on a very large set of photos.
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