Coarse-to-fine classification for image-based face detection

Hanjin Ryu, Ja Cheon Yoon, Seung Soo Chun, Sanghoon Sull

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)


Traditional image-based face detection methods use a window based scanning technique where the window is scanned pixel-by-pixel to search for faces in various positions and scales within an image. Therefore, they require high computation cost and are not adequate to the real time applications. In this paper, we introduce a novel coarse-to-fine classification method for image-based face detection using multiple face classifiers. A coarse location of a face is first classified by the gradient feature based face classifier where the window is scanned in large moving steps. From the coarse location of a face, the fine classification is performed to identify the local image' as a face using the multiple face classifiers where the window is finely scanned. The multiple face classifiers are designed to take gradient, texture and pixel intensity features and trained by back propagation learning algorithm. Experimental results demonstrate that our proposed method can reduce up to 90.4% of the number of scans compared to the exhaustive full scanning technique and provides the high detection rate.

Original languageEnglish
Title of host publicationImage and Video Retrieval - 5th International Conference, CIVR 2006, Proceedings
PublisherSpringer Verlag
Number of pages9
ISBN (Print)3540360182, 9783540360186
Publication statusPublished - 2006
Event5th International Conference on Image and Video Retrieval, CIVR 2006 - Tempe, AZ, United States
Duration: 2006 Jul 132006 Jul 15

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4071 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other5th International Conference on Image and Video Retrieval, CIVR 2006
Country/TerritoryUnited States
CityTempe, AZ

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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