Face detection technique based on rotation invariant wavelet features

International Conference on Information Technology: Coding Computing, ITCC

Volumn 2, Issue , 2004, Pages 157-158

  Gundimada, Satyanadh ^a   Asari, Vijayan ^a  

^a Old Dominion University   (United States)

Author keywords

Face detection; Rotation invariance; Scale invariance; Texture; Wavelets

Indexed keywords

FACE DETECTION PERFORMANCE; FACE DETECTION TECHNIQUE; LIGHTING COMPENSATION METHOD; ROTATION INVARIANT WAVELET FEATURES;

ALGORITHMS; COLOR IMAGE PROCESSING; COMPUTER NETWORKS; INVARIANCE; PACKET NETWORKS; SOFTWARE PROTOTYPING; VECTORS; WAVELET TRANSFORMS;

FACE RECOGNITION;

EID: 3042628475     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ITCC.2004.1286620     Document Type: Conference Paper

References (4)

1. M. H. Yang, D.J. Kriegman, N. Ahuja, "Detecting faces in images: A survey," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 24, no. 1, pp. 34-58, Jan. 2002.
2. C. Garcia and G. Tziritas, "Face detection using quantized skin color regions merging and wavelet packet analysis," IEEE Trans. on Mulimedia, vol. 1, no. 3, pp. 264-277, Sept. 1999.
3. R. Manthalkar, P.K. Biswas, B.N. Chatterji, "Rotation and scale invariant texture features using discrete wavelet packet transform," Pattern Recognition Letters, v 24, n 14, p 2455-2462, October, 2003.
4. Li Tao and V. K. Asari, "Modified Luminance Based MSR for Fast and Efficient Image Enhancement," IEEE International Workshop on Applied Imagery and Pattern Recognition, AIPR - 2003, Washington DC, USA, October 15 - 17, 2003.