Expanded field of view using multiple cameras
US-2024397025-A1 · Nov 28, 2024 · US
US2016005149A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2016005149-A1 |
| Application number | US-201514789877-A |
| Country | US |
| Kind code | A1 |
| Filing date | Jul 1, 2015 |
| Priority date | Jul 1, 2014 |
| Publication date | Jan 7, 2016 |
| Grant date | — |
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A system for semi-automated feature extraction comprising an image analysis server that receives and initializes a plurality of raster images, a feature extraction server that identifies and extracts image features, a mosaic server that assembles mosaics from multiple images, and a rendering engine that provides visual representations of images for review by a human user, and a method for generating a cost raster utilizing the system of the invention.
Opening claim text (preview).
What is claimed is: 1 . A system for semi-automated feature extraction, comprising: an image analysis server computer comprising program code stored in a memory and adapted to process raster images to determine image and pixel information and provide the images and derived information to other components of the system; a feature extraction server computer comprising program code stored in a memory and adapted to identify image features based at least in part on derived information for a raster image, and to provide the image and identified features to other components of the system; a mosaic imaging server computer comprising program code stored in a memory and adapted to receive a plurality of raster images and assemble the images to form mosaics and provide the mosaics to other components of the system; and a rendering engine computer comprising program code stored in a memory and adapted to receive a plurality of data from other components of the system and create visual representations of the data for review by a human user. 2 . The system of claim 1 , further comprising a database computer comprising program code stored in a memory and adapted to store and provide information for other components of the system. 3 . The system of claim 1 , further comprising a viewer device adapted to receive information from other components of the system and present the information for review by a human user. 4 . The system of claim 1 , further comprising a plurality of input devices adapted to receive input from a human user and provide the results of the input to other components of the system. 5 . A method for creating a cost raster for semi-automated feature extraction, comprising the steps of: receiving, at an image analysis server, a plurality of input images; initializing at least a portion of the plurality of input images for processing; deriving initial image characteristics based at least in part on at least a portion of the plurality of input images; identifying and extracting, using a feature extraction server, a plurality of image features based at least in part on at least a portion of the input images; and computing a cost raster based at least in part on at least a portion of the plurality of image features extracted. 6 . The method of claim 5 , further comprising the step of providing the cost raster as output for storage or further review. 7 . The method of claim 5 , wherein the image features are based at least in part on at least a portion of the identified image characteristics derived in a previous step. 8 . The method of claim 5 , wherein the image characteristics comprise at least a plurality of pixel qualities. 9 . The method of claim 8 , wherein the plurality of pixel qualities comprise at least color qualities.
having vectorial format · CPC title
Query formulation, e.g. graphical querying · CPC title
using colour · CPC title
Image mosaicing, e.g. composing plane images from plane sub-images · CPC title
Earth observation · CPC title
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