Eastman-kodak Company

Itt Manufacturing Enterprises, Inc.

Exelis Inc.

Bernard V Brower

Dale Frederick McIntyre

Matthew C Severski

Sreekanth D Rajan

Eli J Glaser

Derrick S Campbell

Kenneth Alan Parulski

Majid Rabbani

Rajan L Joshi

Richard W Lourette

Robert Dean Fiete

Theodore Anthony Tantalo

Craig A Laben

Derek J Walvoord

Adam J Rossi

Roddy Shuler

Bradley D Paul

Paul R Shelley

A technique for generating a three-dimensional reconstruction of a scene involves generating a high-fidelity point cloud representing a three-dimensional reconstruction of a scene from two-dimensional images generated by at least one sensor whose position and orientation are known relative to a fixed coordinate system for each of the images. The high-fidelity point cloud is generated in a relative coordinate system without regard to the position and orientation of the sensor(s). A low-fidelity point cloud is generated in the fixed coordinate system from the two-dimensional images using the position and orientation of the sensor(s) relative to the fixed coordinate system. A transformation between the relative and fixed coordinate systems is determined based on a relationship between points in the high-fidelity and low-fidelity point clouds, and the high-fidelity point cloud is converted from the relative coordinate system to the fixed coordinate system by applying the transformation to the high-fidelity point cloud.

Geoaccurate three-dimensional reconstruction via image-based geometry

A server fulfills region and time of interest (RTI) requests for images from multiple users. The server includes a receiver for receiving a RTI request from a user, a processor for assembling a compressed image based on the RTI request, and a transmitter for transmitting the compressed image to the user. The processor is configured to extract a first portion of the compressed image from a local storage device. If the first portion is insufficient to fulfill the RTI request, the processor is configured to request a second portion of the compressed image from another server, and combine the first and second portions of the compressed image to fulfill the RTI request from the user. The compressed image includes an image compressed by a JPEG 2000 compressor.

Imaging architecture for region and time of interest collection and dissemination

A method of transmitting selected regions of interest of digital video data at selected resolutions, including: capturing digital video; compressing the digital video into a sequence of individual high resolution JPEG 2000 frames and simultaneously extracting from the compressed high resolution JPEG 2000 frames a lower resolution; storing the individual high resolution JPEG 2000 frames in a storage device; creating a video sequence of the lower resolution representation; transmitting the video sequence of the lower resolution representation to a user; creating one or more video sequences of selected regions of interest at selected resolutions greater than the resolution of the video sequence of the lower resolution representation; transmitting one or more video sequences of selected regions of interest at selected resolutions; and repeating the prior two steps at incrementally increased resolutions until a desired resolution of the selected region of interest is reached according to a viewing objective.

Method of transmitting selected regions of interest of digital video data at selected resolutions

A method for producing a compressed digital image from an input digital image is disclosed, wherein the compressed digital image is organized into layers having information that can be extracted in accordance with different desired viewing conditions and resolutions. The input digital image is decomposed to produce a plurality of subbands, each subband having a plurality of subband coefficients. The plurality of subband coefficients of each subband of the decomposed input digital image are quantized to produce a quantized output value for each subband coefficient of each subband. At least one bit-plane is formed from the quantized output values of subband coefficients of each subband. Each bit-plane of each subband in at least one pass is entropy encoded to produce a compressed bit-stream corresponding to each pass, wherein each subband is entropy encoded independently of the other subbands. A visual quality table is provided that specifies a number of expected visual quality levels by providing selectable viewing conditions and resolutions for each expected visual quality level. A minimal set of passes and their corresponding compressed bit-streams that are necessary to satisfy the expected visual quality levels provided in the visual quality table are identified, whereby a user can select different desired viewing conditions and resolutions for each compressed image. The compressed bit-streams corresponding to passes are then ordered into layers from the lowest expected visual quality level to the highest expected visual quality level specified in the visual quality table to produce a compressed digital image, wherein each layer includes the passes and their corresponding compressed bit-streams from the identified minimal set corresponding to the expected visual quality level that have not been included in any lower visual quality layers.

Producing a compressed digital image organized into layers having information relating to different viewing conditions and resolutions

The spatial resolution of a multispectral digital image is enhanced in a process of the type wherein a higher spatial resolution panchromatic image is merged with a plurality of lower spatial resolution spectral band images. A lower spatial resolution panchromatic image is simulated and a Gram-Schmidt transformation is performed on the simulated lower spatial resolution panchromatic image and the plurality of lower spatial resolution spectral band images. The simulated lower spatial resolution panchromatic image is employed as the first band in the Gram-Schmidt transformation. The statistics of the higher spatial resolution panchromatic image are adjusted to match the statistics of the first transform band resulting from the Gram-Schmidt transformation and the higher spatial resolution panchromatic image (with adjusted statistics) is substituted for the first transform band resulting from the Gram-Schmidt transformation to produce a new set of transform bands. Finally, the inverse Gram-Schmidt transformation is performed on the new set of transform bands to produce the enhanced spatial resolution multispectral digital image.

Process for enhancing the spatial resolution of multispectral imagery

Growing community of inventors

Webster, NY, United States of America

Bernard V Brower