10 research outputs found
Practical, Computation Efficient High-Order Neural Network for Rotation and Shift Invariant Pattern Recognition
In this paper, a modification for the high-order neural network (HONN) is presented. Third order
networks are considered for achieving translation, rotation and scale invariant pattern recognition. They require
however much storage and computation power for the task. The proposed modified HONN takes into account a
priori knowledge of the binary patterns that have to be learned, achieving significant gain in computation time and
memory requirements. This modification enables the efficient computation of HONNs for image fields of greater
that 100 Ă— 100 pixels without any loss of pattern information
Image Sensors in Security and Medical Applications
This paper briefly reviews CMOS image sensor technology and its utilization in security and medical
applications. The role and future trends of image sensors in each of the applications are discussed. To provide
the reader deeper understanding of the technology aspects the paper concentrates on the selected applications
such as surveillance, biometrics, capsule endoscopy and artificial retina. The reasons for concentrating on these
applications are due to their importance in our daily life and because they present leading-edge applications for
imaging systems research and development. In addition, review of image sensors implementation in these
applications allows the reader to investigate image sensor technology from the technical and from other views
as well
PRACTICAL, COMPUTATION EFFICIENT HIGH-ORDER NEURAL NETWORK FOR ROTATION AND SHIFT INVARIANT PATTERN RECOGNITION
Abstract: In this paper, a modification for the high-order neural network (HONN) is presented. Third order networks are considered for achieving translation, rotation and scale invariant pattern recognition. They require however much storage and computation power for the task. The proposed modified HONN takes into account a priori knowledge of the binary patterns that have to be learned, achieving significant gain in computation time and memory requirements. This modification enables the efficient computation of HONNs for image fields of greater that 100 Ă— 100 pixels without any loss of pattern information
IMAGE SENSORS IN SECURITY AND MEDICAL APPLICATIONS
[28] O. Yadid-Pecht, R. Etienne-Cummings. CMOS imagers: from phototransduction to image processing. Kluwe