An intelligent electronic appliance preferably includes a user interface, data input and/or output port, and an intelligent processor. A preferred embodiment comprises a set top box for interacting with broadband media streams, with an adaptive user interface, content-based media processing and/or media metadata processing, and telecommunications integration. An adaptive user interface models the user, by observation, feedback, and/or explicit input, and presents a user interface and/or executes functions based on the user model. A content-based media processing system analyzes media content, for example audio and video, to understand the content, for example to generate content-descriptive metadata. A media metadata processing system operates on locally or remotely generated metadata to process the media in accordance with the metadata, which may be, for example, an electronic program guide, MPEG 7 data, and/or automatically generated format. A set top box preferably includes digital trick play effects, and incorporated digital rights management features.

Intelligent electronic appliance system and method

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Principles Of Optics Electromagnetic Theory Of Propagation Interference And Diffraction Of Light

A scheme is developed for classifying the types of motion perceived by a humanlike robot. It is assumed that the robot receives visual images of the scene using a perspective system model. Equations, theorems, concepts, clues, etc., relating the objects, their positions, and their motion to their images on the focal plane are presented. >

http://ieeexplore.ieee.org/iel2/815/3148/00100651.pdf

Robot vision

An adaptive interface for a programmable system, for predicting a desired user function, based on user history, as well as machine internal status and context. The apparatus receives an input from the user and other data. A predicted input is presented for confirmation by the user, and the predictive mechanism is updated based on this feedback. Also provided is a pattern recognition system for a multimedia device, wherein a user input is matched to a video stream on a conceptual basis, allowing inexact programming of a multimedia device. The system analyzes a data stream for correspondence with a data pattern for processing and storage. The data stream is subjected to adaptive pattern recognition to extract features of interest to provide a highly compressed representation that may be efficiently processed to determine correspondence. Applications of the interface and system include a video cassette recorder (VCR), medical device, vehicle control system, audio device, environmental control system, securities trading terminal, and smart house. The system optionally includes an actuator for effecting the environment of operation, allowing closed-loop feedback operation and automated learning.

Adaptive pattern recognition based control system and method

Systems and methods for implementing array cameras configured to perform super- resolution processing to generate higher resolution super-resolved images using a plurality of captured images and lens stack arrays that can be utilized in array cameras are disclosed. Lens stack arrays in accordance with many embodiments of the invention include lens elements formed on substrates separated by spacers, where the lens elements, substrates and spacers are configured to form a plurality of optical channels, at least one aperture located within each optical channel, at least one spectral filter located within each optical channel, where each spectral filter is configured to pass a specific spectral band of light, and light blocking materials located within the lens stack array to optically isolate the optical channels.

Capturing and processing of images using monolithic camera array with heterogeneous imagers

Plenoptic cameras, constructed with internal microlens arrays, focus those microlenses at infinity in order to sample the 4D radiance directly at the microlenses. The consequent assumption is that each microlens image is completely defocused with respect to to the image created by the main camera lens and the outside object. As a result, only a single pixel in the final image can be rendered from it, resulting in disappointingly low resolution. In this paper, we present a new approach to lightfield capture and image rendering that interprets the microlens array as an imaging system focused on the focal plane of the main camera lens. This approach captures a lightfield with significantly higher spatial resolution than the traditional approach, allowing us to render high resolution images that meet the expectations of modern photographers. Although the new approach samples the lightfield with reduced angular density, analysis and experimental results demonstrate that there is sufficient parallax to completely support lightfield manipulation algorithms such as refocusing and novel views

/pdf/the-focused-plenoptic-camera-4yqo8owtwi.pdf

The focused plenoptic camera

Method and apparatus for full-resolution light-field capture and rendering. A radiance camera is described in which the microlenses in a microlens array are focused on the image plane of the main lens instead of on the main lens, as in conventional plenoptic cameras. The microlens array may be located at distances greater than f from the photosensor, where f is the focal length of the microlenses. Radiance cameras in which the distance of the microlens array from the photosensor is adjustable, and in which other characteristics of the camera are adjustable, are described. Digital and film embodiments of the radiance camera are described. A full-resolution light-field rendering method may be applied to light-fields captured by a radiance camera to render higher-resolution output images than are possible with conventional plenoptic cameras and rendering methods.

Methods and apparatus for full-resolution light-field capture and rendering

Plenoptic cameras, constructed with internal microlens arrays, capture both spatial and angular information, i.e., the full 4-D radiance, of a scene. The design of traditional plenoptic cameras assumes that each microlens image is completely defocused with respect to the image created by the main camera lens. As a result, only a single pixel in the final image is rendered from each microlens image, resulting in disappointingly low resolution. A recently devel- oped alternative approach based on the focused plenoptic camera uses the microlens array as an imaging system focused on the im- age plane of the main camera lens. The flexible spatioangular trade- off that becomes available with this design enables rendering of final images with significantly higher resolution than those from traditional plenoptic cameras. We analyze the focused plenoptic camera in optical phase space and present basic, blended, and depth-based rendering algorithms for producing high-quality, high-resolution im- ages. We also present our graphics-processing-unit-based imple- mentations of these algorithms, which are able to render full screen refocused images in real time. © 2010 SPIE and IS&T.

/pdf/focused-plenoptic-camera-and-rendering-1carbmfj2c.pdf

Focused plenoptic camera and rendering

Methods and apparatus for super-resolution in focused plenoptic cameras. By examining the geometry of data capture for super-resolution with the focused plenoptic camera, configurations for which super-resolution is realizable at different modes in the focused plenoptic camera are generated. A focused plenoptic camera is described in which infinity is super resolved directly, with registration provided by the camera geometry and the microlens pitch. In an algorithm that may be used to render super-resolved images from flats captured with a focused plenoptic camera, a high-resolution observed image is generated from a flat by interleaving pixels from adjacent microlens images. A deconvolution method may then be applied to the high-resolution observed image to deblur the image.

Super-resolution with the focused plenoptic camera

Method and apparatus for a fast (low F/number) computational camera that incorporates two arrays of lenses. The arrays include a lenslet array in front of a photosensor and an objective lens array of two or more lenses. Each lens in the objective lens array captures light from a subject. Each lenslet in the lenslet array captures light from each objective lens and separates the captured light to project microimages corresponding to the objective lenses on a region of the photosensor under the lenslet. Thus, a plurality of microimages are projected onto and captured by the photosensor. The captured microimages may be processed in accordance with the geometry of the objective lenses to align the microimages to generate a final image. One or more other algorithms may be applied to the image data in accordance with radiance information captured by the camera, such as automatic refocusing of an out-of-focus image.

Todor G. Georgiev

Papers

The focused plenoptic camera

Methods and apparatus for full-resolution light-field capture and rendering

Focused plenoptic camera and rendering

Super-resolution with the focused plenoptic camera

Fast Computational Camera Based On Two Arrays of Lenses