Location History:
- Ann Arbor, MI (US) (2005)
- Saline, MI (US) (2009 - 2014)
Company Filing History:
Years Active: 2005-2014
Title: Innovations of Mitchell Max Rohde
Introduction
Mitchell Max Rohde is an accomplished inventor based in Saline, MI (US), known for his significant contributions to technology and innovation. With a total of nine patents to his name, Rohde has made strides in various fields, particularly in garment matching and object detection.
Latest Patents
One of Rohde's latest patents is titled "Probability of Accidental Garment Match." This invention involves receiving a digital image of a first garment, where specific portions are identified as matching corresponding portions of a second garment. Rohde's method determines the probability of an accidental match using a statistical model based on various parameters and analyses of the garment portions. The output provides valuable insights into garment matching probabilities.
Another notable patent is "Dot Templates for Object Detection in Images." This invention utilizes dot templates to detect objects within images. The method involves defining each dot template as a collection of points and determining the image values at each point. By overlaying the dot template at various positions within the image, a score is calculated based on the values, allowing for the identification of potential object locations.
Career Highlights
Throughout his career, Rohde has worked with several prominent companies, including Quantum Signal, LLC and Agc America, Inc. His experience in these organizations has contributed to his innovative mindset and technical expertise.
Collaborations
Rohde has collaborated with notable individuals in the field, including Victor E Perlin and Robert M Lupa. These partnerships have likely fostered a creative environment that encourages the development of groundbreaking ideas.
Conclusion
Mitchell Max Rohde's contributions to innovation through his patents demonstrate his expertise and commitment to advancing technology. His work in garment matching and object detection showcases the potential for practical applications in various industries.