A Deep Convolutional Neural Network (CNN)-based three-dimensional (3D) objects
classification using an augmented holographic phase image dataset is proposed. Off-axis …

A unified model based pattern recognition approach is introduced which can be formulated
into a variety of techniques to be used for a variety of applications. In this approach, complex …

The mapping of complex-valued functions onto phase-only spatial light modulators is
examined. Random phase encoding effectively adds amplitude control to the phase-only …

Today, a majority of the approaches to optical pattern recognition involve coherent optical
correlators that use real-time, electrically addressed spatial light modulators (SLM's) in both …

In many image processing applications, it is desirable to combine partially overlapping
images into one larger scene. We introduce a supervised correlation filter method that …

This book provides a comprehensive review of optical pattern recognition, covering
theoretical aspects as well as details of practical implementations and signal processing …

We present a high-SNR approach to estimating the orientation of distorted target objects,
where the distortion is out-of-plane rotation. The presence and position of the targets are …

Synthetic circular-harmonic phase-only filter for shift, rotation, and scaling-invariant correlation
clickable element to expand a topic LOGIN OR CREATE ACCOUNT PRISM SUBMISSION …

In designing synthetic discriminant function (SDF) filters, the usual choice for the correlation
constraint is a real-valued constant for all training images of a given class. However, this …

Correlation-based matching methods are known to be very expensive when used on large
image databases. In this paper, we examine ways of speeding up correlation matching by …