Company Filing History:
Years Active: 2009-2014
Title: Victor E Perlin: Innovator in Image Processing and Object Detection
Introduction
Victor E Perlin is a notable inventor based in Ann Arbor, MI (US), recognized for his contributions to the fields of image processing and garment matching technology. With a total of five patents to his name, Perlin has made significant strides in developing innovative solutions that enhance the accuracy and efficiency of garment identification and object detection.
Latest Patents
Among his latest patents is the "Probability of Accidental Garment Match." This invention involves receiving a digital image of a first garment, where specific portions of the garment are identified as matching corresponding portions of a second garment. By utilizing a statistical model based on various parameters, the probability of an accidental match is determined and outputted. Another significant patent is "Dot Templates for Object Detection in Images." This method employs dot templates to detect objects within images by analyzing the values of the image at specific points defined by the dot template. A score is calculated based on these values, allowing for the identification of potential object locations within the image.
Career Highlights
Victor E Perlin is currently associated with Quantum Signal, LLC, where he applies his expertise in image processing and statistical modeling. His work has contributed to advancements in technology that are applicable in various industries, particularly in garment matching and object detection.
Collaborations
Throughout his career, Perlin has collaborated with notable colleagues, including Mitchell Max Rohde and Robert M Lupa. These collaborations have fostered an environment of innovation and creativity, leading to the development of impactful technologies.
Conclusion
Victor E Perlin stands out as a prominent inventor whose work in image processing and object detection continues to influence the industry. His innovative patents reflect a commitment to enhancing technology and improving garment identification processes.