Company Filing History:
Years Active: 2019-2020
Title: Leonidas Spinoulas: Innovator in Light-Field Technology
Introduction
Leonidas Spinoulas is a prominent inventor based in San Jose, CA. He has made significant contributions to the field of light-field technology, particularly in the areas of deep learning and medical imaging. With a total of 3 patents, his work is at the forefront of innovation in object classification and eardrum imaging.
Latest Patents
One of Spinoulas's latest patents is focused on deep learning architectures for the classification of objects captured with a light-field camera. This innovative approach involves masking light-field data to identify regions of interest before applying it to deep learning models. By capturing a light-field image that includes multiple views of an object from different angles, the data is pre-processed to enhance the model's accuracy. The pre-processing step includes applying masks to filter out less relevant data, allowing the deep learning model to produce a more precise classification of the object.
Another notable patent is for automatic eardrum registration from light-field data. This technology enables the automatic registration of a three-dimensional image of the eardrum, produced from four-dimensional light-field data captured by a specialized otoscope. The registered image is then classified based on a predefined standard form, with the registration process compensating for various factors such as rotation and translation.
Career Highlights
Leonidas Spinoulas is currently employed at Ricoh Company, Ltd., where he continues to develop innovative solutions in imaging technology. His work has garnered attention for its potential applications in both consumer electronics and medical fields.
Collaborations
Spinoulas collaborates with talented individuals such as Manuel Martinello and Sofia Karygianni, contributing to a dynamic team focused on advancing light-field technology.
Conclusion
Leonidas Spinoulas is a key figure in the realm of light-field technology, with a focus on deep learning and medical imaging. His innovative patents reflect his commitment to enhancing object classification and medical imaging techniques.
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