Ko Nishino mainly investigates Artificial intelligence, Computer vision, Reflectivity, Diffuse reflection and Specular reflection. Artificial intelligence is often connected to Pattern recognition in his work. His research integrates issues of Geometric data analysis and Robustness in his study of Computer vision.
The various areas that Ko Nishino examines in his Reflectivity study include Video tracking, Object detection, Shadow and Interpolation. His work carried out in the field of Diffuse reflection brings together such families of science as Photometric stereo, Geometric modeling, Polarization, Texture mapping and Real image. In his study, Surface is inextricably linked to Representation, which falls within the broad field of Object.
Ko Nishino mainly focuses on Artificial intelligence, Computer vision, Reflectivity, Surface and Real image. Ko Nishino combines subjects such as Computer graphics and Pattern recognition with his study of Artificial intelligence. The concepts of his Computer vision study are interwoven with issues in Specular reflection, Catadioptric system and Geometric modeling.
His work in the fields of Reflectivity, such as Photometric stereo, intersects with other areas such as Natural illumination and Field. His Surface study integrates concerns from other disciplines, such as Sharpening, Multispectral image, Absorption, Active appearance model and Spectral power distribution. While the research belongs to areas of Real image, Ko Nishino spends his time largely on the problem of Algorithm, intersecting his research to questions surrounding Artificial neural network, Point cloud and Pose.
His scientific interests lie mostly in Artificial intelligence, Computer vision, Representation, Real image and Algorithm. His research in Artificial intelligence intersects with topics in Absorption and Pattern recognition. His Pattern recognition study combines topics in areas such as Annotation and Motion.
Ko Nishino conducts interdisciplinary study in the fields of Computer vision and Photography through his research. He usually deals with Real image and limits it to topics linked to Artificial neural network and Inverse problem and Bidirectional reflectance distribution function. Ko Nishino has researched Reflectivity in several fields, including Light-field camera, Light field and Normal mapping.
The scientist’s investigation covers issues in Representation, Real image, Algorithm, Artificial intelligence and Object. His Real image research is multidisciplinary, incorporating perspectives in 3D reconstruction, Pose and Polygon mesh. Ko Nishino interconnects Artificial neural network and Point cloud in the investigation of issues within Algorithm.
The concepts of his Artificial neural network study are interwoven with issues in Bidirectional reflectance distribution function, Prior probability and Inverse problem. His Multispectral image study in the realm of Artificial intelligence connects with subjects such as Surface finish. His Object research incorporates elements of Visualization, Face and Set.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Anomaly detection in extremely crowded scenes using spatio-temporal motion pattern models
Louis Kratz;Ko Nishino.
computer vision and pattern recognition (2009)
Ko Nishino;Louis Kratz;Stephen Lombardi.
International Journal of Computer Vision (2012)
Factorizing Scene Albedo and Depth from a Single Foggy Image
Louis Kratz;Ko Nishino.
international conference on computer vision (2009)
The Appearance of Human Skin: A Survey
Takanori Igarashi;Ko Nishino;Shree K. Nayar.
Illumination normalization with time-dependent intrinsic images for video surveillance
Y. Matsushita;K. Nishino;K. Ikeuchi;M. Sakauchi.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2004)
Eigen-texture method: Appearance compression based on 3D model
Ko Nishino;Yoichi Sato;Katsushi Ikeuchi.
computer vision and pattern recognition (1999)
Color constancy through inverse-intensity chromaticity space.
Robby T. Tan;Ko Nishino;Katsushi Ikeuchi.
Journal of The Optical Society of America A-optics Image Science and Vision (2004)
Eyes for relighting
Ko Nishino;Shree K. Nayar.
international conference on computer graphics and interactive techniques (2004)
The Great Buddha Project: Digitally Archiving, Restoring, and Analyzing Cultural Heritage Objects
Katsushi Ikeuchi;Takeshi Oishi;Jun Takamatsu;Ryusuke Sagawa.
International Journal of Computer Vision (2007)
Determining reflectance parameters and illumination distribution from a sparse set of images for view-dependent image synthesis
K. Nishino;Zhengyou Zhang;K. Ikeuchi.
international conference on computer vision (2001)
Profile was last updated on December 6th, 2021.
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