By Jean Marie Arnaudies
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Additional info for Analyse (Cours de mathematiques) (French Edition)
Experiments show that the use of the skin color as a feature of gesture in the image is the effective method for automatic localization in real-time applications. Sometimes “broken” skin regions and “holes” into skin region appear. The following morphological processing removes this disadvantage. Also one can mention another restriction: the background color must differ from the skin color; otherwise the system will detect all regions looking as skin image in the color space. Table 2. 0004, where u is a top boundary, d is a bottom boundary, gu = Ju r2 + Ku r + Lu , gd = Jd r2 + Kd r + Ld , W = (r – 0,33)2 + (g – 0,33)2 , Ju = –1,377, Ku = 1,074, Lu = 0,145, Jd = –0,776, Kd = 0,560, Ld = 0,177 Log opponent IRgBy-color space (hue, saturation) is classified as skin if: 110 ≤ hue ≤ 180 and 0 ≤ saturation ≤ 130, hue = arctan 2 (Rg By ) , saturation = Rg 2 + By 2 .
Power distribution for Set 3, level 1: a - not arranged, b - arranged a b Fig. 6. Power distibution for Set 3, level 2: a - not arranged, b - arranged Decorrelation of Sequences of Medical CT Images 51 Fig. 7. , Set 7 (R=7), and on Fig. 8 a, b - their corresponding graphic distributions. The data in the last column of Table 2 show, that in the first 3 eigen images are concentrated 95,7 % of the total mean power of all 9 images in GMI. Table 2. 0 a. 0 b. Fig. 8. a. Mean Power Distribution; b. Relative Mean Power Distribution for all sets of eigen images 52 R.
At the initial stage of computer processing there is no difference between performances of sounds of speech and gesture symbols. The great difference will be on the last stage – a stage of a result interpretation. An ideal gesture recognition system must be robust to handle and palm variations over a wide range. In common case, we have three main issues: (1) the start and the end of gesture definition in temporal domain (in sequence of continuous gestures); (2) 2D segmentation of 3D palms localization in spatial domain (overlapping images of fingers, warping transformations in 3D space); (3) feature extraction and recognition.
Analyse (Cours de mathematiques) (French Edition) by Jean Marie Arnaudies