Company Filing History:
Years Active: 2005-2009
Title: Yuusuke Nakano: Innovator in Data Processing Technologies
Introduction
Yuusuke Nakano is a prominent inventor based in Akashi, Japan. He has made significant contributions to the field of data processing, particularly in the recognition of objects represented as two-dimensional images. With a total of 7 patents to his name, Nakano's work has advanced the capabilities of image processing technologies.
Latest Patents
One of Nakano's latest patents is a method and apparatus for data processing that recognizes an object represented as a two-dimensional image. This innovative approach allows for the easy generation of a three-dimensional shape model corresponding to a two-dimensional image. The data processing apparatus includes a three-dimensional shape generating section and a texture image generating section, which work together to create a three-dimensional shape and texture image based on model parameters. Another notable patent is a method for detecting objects formed of regions from an image. This apparatus effectively detects individuals by extracting candidates considered to be human body regions from the image. It calculates region likelihood probabilities and uses these to robustly detect a person, even in challenging photographic environments.
Career Highlights
Throughout his career, Yuusuke Nakano has worked with notable companies such as Minolta Company, Ltd. and Konica Minolta Holdings, Inc. His experience in these organizations has contributed to his expertise in image processing and data analysis.
Collaborations
Some of Nakano's coworkers include Yuichi Kawakami and Daisaku Horie. Their collaborative efforts have likely played a role in the development of innovative technologies in their field.
Conclusion
Yuusuke Nakano's contributions to data processing and image recognition technologies have established him as a key figure in his industry. His patents reflect a commitment to advancing the capabilities of image processing, making significant strides in the recognition of objects from two-dimensional images.