Minimum resolution for human face detection and identification

Ashok Samal

doi:10.1117/12.44347

1 June 1991 Minimum resolution for human face detection and identification

Ashok Samal

Proceedings Volume 1453, Human Vision, Visual Processing, and Digital Display II; (1991) https://doi.org/10.1117/12.44347
Event: Electronic Imaging '91, 1991, San Jose, CA, United States

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.

Citation Download Citation

Ashok Samal "Minimum resolution for human face detection and identification", Proc. SPIE 1453, Human Vision, Visual Processing, and Digital Display II, (1 June 1991); https://doi.org/10.1117/12.44347

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