Company Filing History:
Years Active: 1995-1997
Title: Takio Kurita: Innovator in Adaptive Learning Image Measurement
Introduction
Takio Kurita is a notable inventor based in Tsukuba, Japan. He has made significant contributions to the field of image measurement and recognition through his innovative methods and apparatus. With a total of 2 patents, Kurita's work focuses on adaptive learning techniques that enhance the accuracy and efficiency of image processing.
Latest Patents
Kurita's latest patents include a method for adaptive learning type general purpose image measurement. This method involves extracting a large number of basic initial features that are invariant to parallel displacement of an object within an image frame. It also incorporates statistical feature extraction with a learning function based on multivariate analysis applied to the extracted initial features. This approach allows for adaptive use across various types of measurement. Another patent details an adaptive learning type general purpose image measurement and recognition apparatus. This apparatus includes a pick-up device for capturing objects in two dimensions, an image cutting-out device for processing video signals, and a correlating device for computing Nth order autocorrelation of the cut-out data. The system is designed to enable adaptive use for diverse measurement applications.
Career Highlights
Throughout his career, Takio Kurita has worked with esteemed organizations such as the Agency of Industrial Science and Technology and Ouyo Keisoku Kenkyusho. His experience in these institutions has contributed to his expertise in image measurement technologies.
Collaborations
Kurita has collaborated with notable colleagues, including Nobuyuki Otsu and Shigesumi Kuwashima. These partnerships have further enriched his research and development efforts in the field.
Conclusion
Takio Kurita's innovative work in adaptive learning image measurement has positioned him as a key figure in the advancement of image processing technologies. His patents reflect a commitment to enhancing measurement techniques through intelligent design and analysis.