There is, I think, something ethereal about i —the square root of minus one. I remember first hearing about it at school. It seemed an odd beast at that time—an intruder hovering on the edge of reality.

Usually familiarity dulls this sense of the bizarre, but in the case of i it was the reverse: over the years the sense of its surreal nature intensified. It seemed that it was impossible to write mathematics that described the real world in …

I and i

Probability Distributions.- Linear Models for Regression.- Linear Models for Classification.- Neural Networks.- Kernel Methods.- Sparse Kernel Machines.- Graphical Models.- Mixture Models and EM.- Approximate Inference.- Sampling Methods.- Continuous Latent Variables.- Sequential Data.- Combining Models.

Pattern Recognition and Machine Learning

A fast-Fourier-transform method of topography and interferometry is proposed. By computer processing of a noncontour type of fringe pattern, automatic discrimination is achieved between elevation and depression of the object or wave-front form, which has not been possible by the fringe-contour-generation techniques. The method has advantages over moire topography and conventional fringe-contour interferometry in both accuracy and sensitivity. Unlike fringe-scanning techniques, the method is easy to apply because it uses no moving components.

Fourier-transform method of fringe-pattern analysis for computer-based topography and interferometry

From the Publisher: 
The accessible presentation of this book gives both a general view of the entire computer vision enterprise and also offers sufficient detail to be able to build useful applications. Users learn techniques that have proven to be useful by first-hand experience and a wide range of mathematical methods. A CD-ROM with every copy of the text contains source code for programming practice, color images, and illustrative movies. Comprehensive and up-to-date, this book includes essential topics that either reflect practical significance or are of theoretical importance. Topics are discussed in substantial and increasing depth. Application surveys describe numerous important application areas such as image based rendering and digital libraries. Many important algorithms broken down and illustrated in pseudo code. Appropriate for use by engineers as a comprehensive reference to the computer vision enterprise.

Computer vision : a modern approach = 计算机视觉 : 一种现代的方法

We propose a new optical encoding method of images for security applications. The encoded image is obtained by random-phase encoding in both the input and the Fourier planes. We analyze the statistical properties of this technique and show that the encoding converts the input signal to stationary white noise and that the reconstruction method is robust.

Optical image encryption based on input plane and Fourier plane random encoding.

We use independent component analysis technique to fuse reconstructed holographic images at different longitudinal
depths from the image sensor. We experiment using phase-shifting digital holography.

Multifocus holographic 3D image fusion using independent component analysis

Integral imaging systems are imaging devices that provide 3D images of 3D objects. When integral imaging systems work in their standard configuration the provided reconstructed images are pseudoscopic; that is, are reversed in depth. In this paper we present, a technique for formation of real, undistorted, orthoscopic integral images by direct pickup. The technique is based on the use of a proper relay system and a global mapping of pixels of the elemental-images set. Simulated imaging experiments are presented to support our proposal.

/pdf/orthoscopic-long-focal-depth-3d-integral-imaging-y5rfcsssgo.pdf

Orthoscopic, long-focal-depth 3D Integral Imaging

Optical Devices and Systems.- General Solution of Two-Dimensional Beam-Shaping with Two Surfaces.- Nanophotonics for Information Systems.- Liquid Crystal Light-Valves for Slow-Light and Applications.- Diversity of Optical Signal Processing Led by Optical Signal Form Conversion.- Dynamic Wavefront Sensing and Correction with Low-Cost Twisted Nematic Spatial Light Modulators.- Nanoinjection Detectors and Imagers for Sensitive and Efficient Infrared Detection.- Biological Applications of Stimulated Parametric Emission Microscopy and Stimulated Raman Scattering Microscopy.- 3D Passive/Active Imaging and Visualization.- Novel Approaches in 3D Sensing, Imaging, and Visualization.- Overview of Free-viewpoint TV (FTV).- Presentation and Perception of Digital Hologram Reconstructions of Real-World Objects on Conventional Stereoscopic Displays.- Parallel Phase-Shifting Digital Holography Based on the Fractional Talbot Effect.- Improvement of Viewing-Zone Angle and Image Quality of Digital Holograms.- Shot Noise in Digital Holography.- Deformation of Digital Holograms for Full Control of Focus and for Extending the Depth of Field.- Zoom Algorithms for Digital Holography.- Polarimetric Imaging.- Partial Polarization of Optical Beams: Temporal and Spectral Descriptions.- A Degree of Freedom and Metrics Approach for Nonsingular Mueller Matrices Characterizing Passive Systems.- Resolution-Enhanced Imaging Based upon Spatial Depolarization of Light.- Algorithms for Imaging and Analysis.- Hybrid Imaging Systems for Depth of Focus Extension With or Without Postprocessing.- Multispectral Image Pansharpening Based on the Contourlet Transform.- Faces Robust Image Hashing by ICA: An Attempt to Optimality.- Minkowski Metrics: Its Interaction and Complementarity with Euclidean Metrics.

Information optics and photonics : algorithms, systems, and applications

We describe an encrypted optical memory using double random phase encoding at the input plane and the Fourier plane This technique allows the images to be stored as independent white complex stationary processes Experimental results are presented Optical encryption methods using random phase encoding have been proposed recently In this summary, we describe an encrypted optical memory using double random phase encoding in both the input plane and the Fourier plane Each stored image is encrypted and can be read out by a unique code or a universal code

Encrypted optical memory using double random phase encoding

The presence of turbulence such as maritime aerosols between the target and the observer degrades the detection and classification performance of electro-optical sensors and detectors. A filtering algorithm that takes into account of the environmental degradation, the background non-overlapping noise, the non-stationarity of the scene, non-target objects and additive system noise is designed and implemented to detect and classify targets under such conditions. The detection performance of this algorithm has been validated using computer simulations and found to be superior to filters that are optimal with respect to noise statistics but do not take into account the effects of environmental conditions. The algorithm is then extended using a set of training images to be distortion-invariant with respect to different target aspects.

Bahram Javidi

Papers

Multifocus holographic 3D image fusion using independent component analysis

Orthoscopic, long-focal-depth 3D Integral Imaging

Information optics and photonics : algorithms, systems, and applications

Encrypted optical memory using double random phase encoding

Distortion-invariant pattern recognition algorithms in the presence of environmental degradation of the input image