Highlights

• Proprietary algorithm for pattern matching in both static and dynamic applications
• Computer vision software for extracting and analyzing information from images
• Simple, fast method for use by industrial robots and vision based systems for assembly, manufacturing and inspection
• Applications in face recognition and security

Our Innovation

• Two part system
• The “Image Hamming Distance Family” of image distance measures. Family members are robust to occlusions, geometrical transforms, light changes and non-rigid deformations.
• Novel Bayesian framework for sequential hypothesis testing on finite populations
• Based on the framework, an optimal rejection/acceptance sampling algorithm is designed. The algorithm quickly determines whether two images are similar with respect to a member of the Image Hamming Distance Family.

Key Features

• On a Pentium 4 3GHz processor, detection of a pattern with 2197 pixels in 640x480 pixel frames, where in each frame the pattern rotated and was highly occluded, proceeded at only 0.022 seconds per frame
• Enables searching for certain parts in an image or aligning parts to a reference position

Development Milestones

• Seeking industry partnerships

The Opportunity

• Applications in imaging/video editing and enhancement - nearly 50% of digital cameras buyers use software for managing and enhancing their photographs
• For serious amateur and professional mphotographers, postproduction (any possible manipulation) is essential. They use new, easy-to-use programs (to correct red eyes, face recognition, scene recognition and tonal corrections) in addition to improved in-camera algorithms and many new programs to produce high quality pictures in minilabs