发明名称 Techniques for disparity estimation using camera arrays for high dynamic range imaging
摘要 Techniques for improved focusing of camera arrays are described. In one embodiment, a system may include a processor circuit, a camera array, and an imaging management module for execution on the processor circuit to capture an array of images from the camera array, the array of images comprising first and second images taken with first and second values of an exposure parameter, respectively, the first value different than the second value, to estimate a noise level, to normalize an intensity of each image based upon the noise level of the respective image, to produce a respective normalized image, to identify candidate disparities in each of the respective normalized images, to estimate a high dynamic range (HDR) image patch for each candidate disparity, and to compute an error from the HDR image patch and an objective function, to produce a disparity estimate. Other embodiments are described and claimed.
申请公布号 US9600887(B2) 申请公布日期 2017.03.21
申请号 US201314101061 申请日期 2013.12.09
申请人 INTEL CORPORATION 发明人 Park Sung Hee;Seshadrinathan Kalpana
分类号 G06K9/00;G06T7/00;G06T5/00;G06T5/50;H04N5/235;H04N13/00;H04N13/02 主分类号 G06K9/00
代理机构 代理人
主权项 1. At least one non-transitory machine-readable medium comprising a plurality of instructions that, in response to being executed on a computing device, cause the computing device to: receive an array of images from a camera array, the array of images to comprise a plurality of images including at least a first image taken with a first value of an exposure parameter and a second image taken with a second value of the exposure parameter, the first value different than the second value; estimate a noise level of each image of the array of images; generate a plurality of exposure-normalized images, each one of the plurality of exposure-normalized images to be generated by normalizing a respective one of the plurality images based on an exposure parameter value used to capture that one of the plurality of images and a median exposure level for the plurality of images; identify candidate disparities in each of the plurality of exposure-normalized images; estimate a high dynamic range (HDR) image patch for each candidate disparity; and compute an error from the HDR image patch and an objective function to produce a disparity estimate.
地址 Santa Clara CA US