Norimichi Tsumura

Bio: Norimichi Tsumura is an academic researcher from Chiba University. The author has contributed to research in topics: RGB color model & Color image. The author has an hindex of 23, co-authored 328 publications receiving 2729 citations. Previous affiliations of Norimichi Tsumura include Osaka University & College of Industrial Technology.

Image-based skin color and texture analysis/synthesis by extracting hemoglobin and melanin information in the skin

Abstract: This paper proposes an E-cosmetic function for digital images based on physics and physiologically-based image processing. A practical skin color and texture analysis/synthesis technique is introduced for this E-cosmetic function. Shading on the face is removed by a simple color vector analysis in the optical density domain as an inverse lighting technique. The image without shading is analyzed by a previously introduced technique that extracts hemoglobin and melanin components by independent component analysis. Experimental results using UV-B irradiation and the application of methyl nicotinate on the arms support the physiological validity of the analysis and the effectiveness of the proposed shading removal. We synthesized the way facial images changed due to tanning or alcohol consumption, and compared the synthesized images with images of actual changes in skin color. The comparison shows an excellent match between the synthesized and actual images of changes due to tanning and alcohol consumption. We also proposed a technique to synthesize the change of texture in pigment due to aging or the application of cosmetics. The pyramid-based texture analysis/synthesis technique was used for the spatial processing of texture. Using the proposed technique, we could realistically change the skin color and texture of a 50 year-old woman to that of a 20 year-old woman.

Independent-component analysis of skin color image

Abstract: The spatial distributions of melanin and hemoglobin in human skin are separated by independent-component analysis of a skin color image. The analysis is based on the skin color model with three assumptions: (1) Spatial variation of color in the skin is caused by two pigments, melanin and hemoglobin; (2) the quantities of the two pigments are mutually independent spatially; and (3) linearity holds among the quantities and the observed color signals in the optical density domain. The results of the separation agree well with physiological knowledge. The separated components are synthesized to simulate the various facial color images by changing the quantities of the two separated pigments.

System design for accurately estimating the spectral reflectance of art paintings

Abstract: Accurately estimating the spectral reflectance of art paintings from low-dimensional multichannel images requires that both image-acquisition hardware with appropriate spectral characteristics and appropriate estimation software be applied to the captured multichannel image. In this study, a system that incorporates both factors is designed and developed on the basis of the minimum-mean-square error criterion. The accuracy of spectral estimation by use of this system is evaluated, and the system's high performance is demonstrated.

Probing the metabolic heterogeneity of live Euglena gracilis with stimulated Raman scattering microscopy.

Abstract: Understanding metabolism in live microalgae is crucial for efficient biomaterial engineering, but conventional methods fail to evaluate heterogeneous populations of motile microalgae due to the labelling requirements and limited imaging speeds. Here, we demonstrate label-free video-rate metabolite imaging of live Euglena gracilis and statistical analysis of intracellular metabolite distributions under different culture conditions. Our approach provides further insights into understanding microalgal heterogeneity, optimizing culture methods and screening mutant microalgae. Label-free, video-rate metabolite imaging of live Euglena gracilis shows spatiotemporal intracellular metabolite distributions under different culture conditions.

Tokenless Cancelable Biometrics Scheme for Protecting Iris Codes

Abstract: In order to satisfy the requirements of the cancelable biometrics construct, cancelable biometrics techniques rely on other authentication factors such as password keys and/or user specific tokens in the transformation process. However, such multi-factor authentication techniques suffer from the same issues associated with traditional knowledge-based and token-based authentication systems. This paper presents a new one-factor cancelable biometrics scheme for protecting Iris Codes. The proposed method is based solely on Iris Codes; however, it satisfies the requirements of revocability, diversity and noninvertibility without deteriorating the recognition performance. Moreover, the transformation process is easy to implement and can be integrated simply with current iris matching systems. The impact of the proposed transformation process on the the recognition accuracy is discussed and its noninvertibility is analyzed. The effectiveness of the proposed method is confirmed experimentally using CASIA-IrisV3-Interval dataset.

Eye Tracking Methodology: Theory and Practice

Abstract: to the Human Visual System (HVS).- Visual Attention.- Neurological Substrate of the HVS.- Visual Psychophysics.- Taxonomy and Models of Eye Movements.- Eye Tracking Systems.- Eye Tracking Techniques.- Head-Mounted System Hardware Installation.- Head-Mounted System Software Development.- Head-Mounted System Calibration.- Table-Mounted System Hardware Installation.- Table-Mounted System Software Development.- Table-Mounted System Calibration.- Eye Movement Analysis.- Eye Tracking Methodology.- Experimental Design.- Suggested Empirical Guidelines.- Case Studies.- Eye Tracking Applications.- Diversity and Types of Eye Tracking Applications.- Neuroscience and Psychology.- Industrial Engineering and Human Factors.- Marketing/Advertising.- Computer Science.- Conclusion.

Methods and Systems for Content Processing

Abstract: Cell phones and other portable devices are equipped with a variety of technologies by which existing functionality can be improved, and new functionality can be provided. Some relate to visual search capabilities, and determining appropriate actions responsive to different image inputs. Others relate to processing of image data. Still others concern metadata generation, processing, and representation. Yet others relate to coping with fixed focus limitations of cell phone cameras, e.g., in reading digital watermark data. Still others concern user interface improvements. A great number of other features and arrangements are also detailed.