: We hoped to extract support information to enable the selection of the well-suited garments to fit threedimensional body (hereafter 3D-body) shape images of young women. The 3D-body simulations for evaluating the shape images were created by means of non-tactile 3D-body measurement. Two hundred words were selected to describe various body shape images. Six key words indicating full-length body images (As : A1. Underweight, A2. Feminine, A3. Ideal, A4. Standard, A5. Masculine, and A6. Overweight figures) and 19 key words for partial body image (Bs : B1. Leg thickness to B19. Body shape) were extracted for the classification. The 3D-body shape images of 82 young females were evaluated on a scale of 1 to 5 using these key words. Six principal components of 3D-body shape images (As and Bs) were extracted, and 7 3D-body shape image groups (5 full-length and 2 partial) were classified using those 5 principal component scores.

No abstract

Colorization is a computerized process of adding color to a black and white print, movie and TV program. The authors have proposed automatic colorization algorithms by giving a partial color to a monochrome image. This paper focuses on the colorization process which can produce a color image from a monochrome image with a small number of color pixels, and proposes a novel color image coding algorithm based on the colorization technique. At first, luminance component is separated from an input color image. Next, selected color seeds from the original color image are sown on the luminance image domain automatically and the monochrome image is colorized. The sowing process is continued until the colorized image satisfies the desired quality. Finally, both orthogonal transform-coded luminance component and the set of color seeds are transmitted as coded data. The decoding can be performed by tracing the same colorization process. We confirmed that the colorization technique is effective to image coding through the experiments.

No abstract