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Audio Gender / Image Person Recognition

Audio Gender / Image Person Recognition. MyIdea Database 32 Males, 12 Females Audio Male Female Classification Avignon 3 ppl falsely classified (Male) Eigen Face based Person recognition Combined: 95.34 % Male: 93.00 % Female: 99.96 % Average: 96.48 %.

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Audio Gender / Image Person Recognition

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  1. Audio Gender / Image Person Recognition • MyIdea Database • 32 Males, 12 Females • Audio Male Female Classification • Avignon • 3 ppl falsely classified (Male) • Eigen Face based Person recognition • Combined: 95.34 % • Male: 93.00 % • Female: 99.96 % • Average: 96.48 %

  2. IMPOSTOR DETECTION USING FACIAL STEREOSCOPIC IMAGES (Eusipco 09)

  3. A COMPARATIVE STUDY OF LIP FEATURES FOR PERSON IDENTIFICATION (ICIP 09) Table 1: mRMR Results Table 2: SVM Results

  4. TEMPORAL SYNCHRONIZATION OF VIDEOS USING VISUAL SPEECH (ICIP 09) • Motivation • Pose, Illumination, Expression. • Video DBs recorded over time. • Method • Frames with large Change (1st Video) • Match Marker Frames in 2,3,4,5 th Video • Comparison with random frames.

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