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    • 6. 发明申请
    • ESTIMATING DEPTH FROM PROJECTED TEXTURE USING CAMERA ARRAYS
    • 使用相机阵列从投影纹理估计深度
    • WO2015074078A1
    • 2015-05-21
    • PCT/US2014/066229
    • 2014-11-18
    • PELICAN IMAGING CORPORATION
    • VENKATARAMAN, KartikDUPARRE, Jacques
    • G06T7/40
    • G01B11/22G01B11/2545G06T7/40G06T7/521G06T7/557G06T7/596G06T2207/10024
    • Systems and methods in accordance with embodiments of the invention estimate depth from projected texture using camera arrays. One embodiment of the invention includes: at least one two-dimensional array of cameras comprising a plurality of cameras; an illumination system configured to illuminate a scene with a projected texture; a processor; and memory containing an image processing pipeline application and an illumination system controller application. In addition, the illumination system controller application directs the processor to control the illumination system to illuminate a scene with a projected texture. Furthermore, the image processing pipeline application directs the processor to: utilize the illumination system controller application to control the illumination system to illuminate a scene with a projected texture capture a set of images of the scene illuminated with the projected texture; determining depth estimates for pixel locations in an image from a reference viewpoint using at least a subset of the set of images. Also, generating a depth estimate for a given pixel location in the image from the reference viewpoint includes: identifying pixels in the at least a subset of the set of images that correspond to the given pixel location in the image from the reference viewpoint based upon expected disparity at a plurality of depths along a plurality of epipolar lines aligned at different angles; comparing the similarity of the corresponding pixels identified at each of the plurality of depths; and selecting the depth from the plurality of depths at which the identified corresponding pixels have the highest degree of similarity as a depth estimate for the given pixel location in the image from the reference viewpoint.
    • 根据本发明的实施例的系统和方法使用相机阵列来估计来自投影纹理的深度。 本发明的一个实施例包括:包括多个相机的至少一个二维阵列阵列; 配置成用投影纹理照亮场景的照明系统; 处理器 以及包含图像处理流水线应用和照明系统控制器应用的存储器。 此外,照明系统控制器应用引导处理器控制照明系统以投影纹理照亮场景。 此外,图像处理流水线应用引导处理器:利用照明系统控制器应用来控制照明系统以投影纹理照亮场景,捕获用投影纹理照亮的场景的一组图像; 使用所述图像集合的至少一个子集来确定来自参考视点的图像中的像素位置的深度估计。 此外,从参考视点生成图像中的给定像素位置的深度估计包括:基于预期,从参考视点识别对应于图像中的给定像素位置的图像集合的至少一个子集中的像素 沿着以不同角度对准的多个对极线的多个深度处的视差; 比较在所述多个深度中的每一个处识别的相应像素的相似度; 并且从所述多个深度中选择所述识别的相应像素具有最高相似度的深度作为所述图像中的给定像素位置的参考视点的深度估计。
    • 8. 发明申请
    • FEATURE BASED HIGH RESOLUTION MOTION ESTIMATION FROM LOW RESOLUTION IMAGES CAPTURED USING AN ARRAY SOURCE
    • 基于特征的高分辨率运动估计由使用阵列源捕获的低分辨率图像
    • WO2014032020A2
    • 2014-02-27
    • PCT/US2013/056502
    • 2013-08-23
    • PELICAN IMAGING CORPORATION
    • LELESCU, DanJAIN, Ankit, K.
    • H04N5/232
    • H04N5/23232G06K9/4604G06K9/6201G06T3/4053G06T3/4069G06T7/13G06T7/246G06T11/60G06T2207/20221H04N19/53H04N19/54H04N19/59
    • Systems and methods in accordance with embodiments of the invention enable feature based high resolution motion estimation from low resolution images captured using an array camera. One embodiment includes performing feature detection (122, 124) with respect to a sequence of low resolution images to identify (126) initial locations for a plurality of detected features in the sequence of low resolution images, where the at least one sequence of low resolution images is part of a set of sequences of low resolution images captured from different perspectives. The method also includes synthesizing (128) high resolution image portions, where the synthesized high resolution image portions contain the identified plurality of detected features from the sequence of low resolution images. The method further including performing feature detection (129) within the high resolution image portions to identify high precision locations for the detected features, and estimating camera motion using the high precision locations for said plurality of detected features.
    • 根据本发明的实施例的系统和方法使得能够使用阵列照相机捕获的低分辨率图像进行基于特征的高分辨率运动估计。 一个实施例包括相对于一系列低分辨率图像执行特征检测(122,124)以识别(126)低分辨率图像序列中的多个检测到的特征的初始位置,其中至少一个低分辨率序列 图像是从不同角度捕获的低分辨率图像的一组序列的一部分。 该方法还包括合成(128)高分辨率图像部分,其中合成的高分辨率图像部分从低分辨率图像序列中包含所识别的多个检测到的特征。 该方法还包括在高分辨率图像部分内执行特征检测(129)以识别检测到的特征的高精度位置,以及使用所述多个检测到的特征的高精度位置来估计摄像机运动。
    • 9. 发明申请
    • SYSTEMS AND METHODS FOR THE MANIPULATION OF CAPTURED LIGHT FIELD IMAGE DATA
    • 用于控制捕获的光场图像数据的系统和方法
    • WO2013126578A1
    • 2013-08-29
    • PCT/US2013/027146
    • 2013-02-21
    • PELICAN IMAGING CORPORATION
    • McMAHON, Andrew, Kenneth JohnVENKATARAMAN, KartikMULLIS, Robert
    • H04N1/40
    • G06T19/20G06F3/013G06F3/041G06F3/0488G06T19/00G06T2200/21
    • Systems and methods for the manipulation of captured light fields and captured light field image data in accordance with embodiments of the invention are disclosed. In one embodiment of the invention, a system for manipulating captured light field image data includes a processor, a display, a user input device, and a memory, wherein a depth map includes depth information for one or more pixels in the image data, and wherein an image manipulation application configures the processor to display a first synthesized image, receive user input data identifying a region within the first synthesized image, determine boundary data for the identified region using the depth map, receive user input data identifying at least one action, and perform the received action using the boundary data and the captured light field image data.
    • 公开了根据本发明的实施例的用于操纵捕获的光场和捕获的光场图像数据的系统和方法。 在本发明的一个实施例中,用于操纵捕获的光场图像数据的系统包括处理器,显示器,用户输入设备和存储器,其中深度图包括图像数据中的一个或多个像素的深度信息,以及 其中图像处理应用将所述处理器配置为显示第一合成图像,接收标识所述第一合成图像内的区域的用户输入数据,使用所述深度图确定所识别区域的边界数据,接收标识至少一个动作的用户输入数据, 并使用边界数据和捕获的光场图像数据来执行接收的动作。