Examination on Pseudo-Spectral Color Reproduction of Facial Image Using Spectral Skin Color Palette
Abstract:This paper introduces a simple idea of RGB to spectral image conversion without any expensive multi-spectral devices. A spectral reflectance with the closest colorimetric value to that of RGB pixel is picked up from the spectral palette and embedded in each pixel of RGB image. SVD (Singular Value Decomposition) compresses the high-resolution spectral image to a compact data. A conventional RGB camera image is transformed into a pseudo-spectral image and facial skin color appearance is estimated under different illuminants. The paper reports a facial color reproduction experiments using skin color palette extracted from JIS spectral data base SOCS and discusses the color accuracy after SVD compression with low dimensional parameters.
Document Type: Research Article
Publication date: 2006-01-01
For more than 30 years, IS&T's series of digital printing conferences have been the leading forum for discussion of advances and new directions in 2D and 3D printing technologies. A comprehensive, industry-wide conference that brings together industry and academia, this meeting includes all aspects of the hardware, materials, software, images, and applications associated with digital printing systems?particularly those involved with additive manufacturing and fabrication?including bio-printing, printed electronics, page-wide, drop-on-demand, desktop and continuous ink jet, toner-based systems, and production digital printing, as well as the engineering capability, optimization, and science involved in these fields. In 2016, the conference changed its name formally to Printing for Fabrication to better reflect the content of the meeting and the evolving technology of printing.
Please note: For purposes of its Digital Library content, IS&T defines Open Access as papers that will be downloadable in their entirety for free in perpetuity. Copyright restrictions on papers vary; see individual paper for details.
- Information for Authors
- Submit a Paper
- Subscribe to this Title
- Membership Information
- Terms & Conditions
- Ingenta Connect is not responsible for the content or availability of external websites