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Proceedings Paper

Minimum resolution for human face detection and identification
Author(s): Ashok Samal
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Paper Abstract

Our goal is to build an automated system for face recognition. Such a system for a realistic application is likely to have thousands, possibly miffions of faces. Hence, it is essential to have a compact representation for a face. So an important issue is the minimum spatial and grayscale resolutions necessary for a pattern to be detected as a face and then identified. Several experiments were performed to estimate these limits using a collection of 64 faces imaged under very different conditions. All experiments were performed using human observers. The results indicate that there is enough information in 32 x32 x 4bpp images for human eyes to detect and identify the faces. Thus an automated system could represent a face using only 512 bytes.

Paper Details

Date Published: 1 June 1991
PDF: 9 pages
Proc. SPIE 1453, Human Vision, Visual Processing, and Digital Display II, (1 June 1991); doi: 10.1117/12.44347
Show Author Affiliations
Ashok Samal, Univ. of Nebraska/Lincoln (United States)


Published in SPIE Proceedings Vol. 1453:
Human Vision, Visual Processing, and Digital Display II
Bernice E. Rogowitz; Michael H. Brill; Jan P. Allebach, Editor(s)

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