Masakazu Matsugu focuses on Artificial intelligence, Computer vision, Image, Pattern recognition and Image processing. His study in Pattern identification and Stereoscopy is done as part of Artificial intelligence. As a part of the same scientific family, Masakazu Matsugu mostly works in the field of Computer vision, focusing on Information processing and, on occasion, Coordinate system and Image sensing.
His Image research incorporates themes from Series and Modulation. His research in Pattern recognition tackles topics such as Feature which are related to areas like Feature vector, Computer hardware, Control signal and Signal processing. His work on Image texture as part of his general Image processing study is frequently connected to Circuit extraction, thereby bridging the divide between different branches of science.
His scientific interests lie mostly in Artificial intelligence, Computer vision, Pattern recognition, Image and Object. His work in Artificial intelligence is not limited to one particular discipline; it also encompasses Information processing. His Pixel and Image generation study in the realm of Computer vision connects with subjects such as Control methods and Set.
His work on Pattern recognition and Feature vector as part of general Pattern recognition research is often related to Basis, thus linking different fields of science. His Image study combines topics in areas such as Virtual image, Pulse and Modulation. His Object research incorporates elements of Orientation, State and Optics.
Masakazu Matsugu spends much of his time researching Artificial intelligence, Computer vision, Pattern recognition, Object and Information processing. Image, Feature, Object detection, Robustness and Object based are the primary areas of interest in his Artificial intelligence study. His research brings together the fields of Computer graphics and Computer vision.
His Pattern recognition research is multidisciplinary, incorporating perspectives in Event, Feature, Categorization and Salient object detection. His Object study incorporates themes from Orientation, Tree structure, Learning data and State. His study in Information processing is interdisciplinary in nature, drawing from both Virtual image, Optics, Plan and Operations management.
His primary areas of study are Artificial intelligence, Computer vision, Object, Pattern recognition and Feature. His Machine learning research extends to the thematically linked field of Artificial intelligence. Many of his studies on Computer vision involve topics that are commonly interrelated, such as Learning data.
Masakazu Matsugu interconnects Orientation and Optics in the investigation of issues within Object. The Pattern recognition study combines topics in areas such as Event, Scale parameter, Image acquisition and Sample. A large part of his Image studies is devoted to Image processing.
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Object extraction method, and image sensing apparatus using the method
Method of extracting image from input image using reference image
Masakazu Matsugu;Tatsushi Katayama;Koji Hatanaka.
Image recognition/reproduction method and apparatus
Masakazu Matsugu;Katsumi Iijima.
Information processing apparatus, information processing method, pattern recognition apparatus, and pattern recognition method
Masakazu Matsugu;Katsuhiko Mori;Mie Ishii;Yusuke Mitarai.
Image capturing apparatus and image capturing method
Masakazu Matsugu;Katsuhiko Mori;Yuji Kaneda;Tadashi Hayashi.
Image sensing and image processing apparatuses
Tatsushi Katayama;Shigeki Okauchi;Nobuo Fukushima;Masakazu Matsugu.
Image processing device, image device, image processing method
Katsuhiko Mori;Yuji Kaneda;Masakazu Matsugu;Yusuke Mitarai.
Image extraction apparatus and method
Masakazu Matsugu;Hideo Takiguchi;Koji Hatanaka.
Three-dimensional information processing apparatus and method
Katsumi Iijima;Shigeki Okauchi;Masakazu Matsugu;Masayoshi Sekine.
Information processing apparatus and control method therefor
Yuji Kaneda;Masakazu Matsugu;Katsuhiko Mori.
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