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公开(公告)号：US09582856B2
公开(公告)日：2017-02-28
申请号：US14682752
申请日：2015-04-09
Applicant: Samsung Electronics Co., Ltd.
Inventor： Seung-Won Jung , Ouk Choi
Abstract: An apparatus and method for processing an image based on a motion of an object, the apparatus including a motion estimator configured to estimate a motion of an object included in a current image, an image determiner configured to determine a neighboring image neighboring the current image based on the motion of the object, and a pixel value determiner configured to determine a pixel value of a hole region neighboring the object based on the neighboring image is provided.
Abstract translation: 一种用于基于对象的运动来处理图像的装置和方法，所述装置包括被配置为估计包括在当前图像中的对象的运动的运动估计器，被配置为确定与当前图像相邻的邻近图像的图像确定器 提供对象的运动，并且提供被配置为基于相邻图像确定与该对象相邻的孔区域的像素值的像素值确定器。
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12.发明授权Image processing apparatus and method for detecting transparent object in image 有权用于检测图像中的透明物体的图像处理装置和方法公开(公告)号：US09349075B2
公开(公告)日：2016-05-24
申请号：US13888803
申请日：2013-05-07
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Seung Won Jung , Seung Kyu Lee , Ouk Choi , Do Kyoon Kim , Kee Chang Lee
CPC classification number: G06K9/6262 , G06K9/00 , G06K9/6217 , G06T2207/10028 , H04N5/225
Abstract: Provided is an image processing apparatus and method for detecting a transparent image from an input image. The image processing apparatus may include an image segmenting unit to segment an input image into a plurality of segments, a likelihood determining unit to determine a likelihood that a transparent object is present between adjacent segments among the plurality of segments, and an object detecting unit to detect the transparent object from the input image based on the likelihood.
Abstract translation: 提供了一种用于从输入图像检测透明图像的图像处理装置和方法。 图像处理装置可以包括将输入图像分割成多个片段的图像分割单元，确定透明对象存在于多个片段中的相邻片段之间的可能性的似然确定单元，以及对象检测单元 根据可能性从输入图像中检测透明物体。
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公开(公告)号：US09225959B2
公开(公告)日：2015-12-29
申请号：US13736463
申请日：2013-01-08
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Ouk Choi , Seung Kyu Lee , Kee Chang Lee
CPC classification number: H04N13/106 , G01S17/08 , G01S17/89 , G06T7/55 , G06T2207/10028 , G06T2207/20076
Abstract: A method and apparatus for processing a depth image determines a number of mods (NoM) for corresponding pixels in a plurality of depth images. The corresponding pixels may represent a same three-dimensional (3D) point. The NoM may be determined to be a value for minimizing a Markov random field (MRF) energy. A depth value for one depth image may be recovered, and a depth value for another depth image may be updated using the recovered depth value.
Abstract translation: 用于处理深度图像的方法和装置确定多个深度图像中相应像素的多个mod（NoM）。 相应的像素可以表示相同的三维（3D）点。 可以将NoM确定为用于使马尔可夫随机场（MRF）能量最小化的值。 可以恢复一个深度图像的深度值，并且可以使用恢复的深度值来更新另一深度图像的深度值。
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14.发明申请SYNTHESIS SYSTEM OF TIME-OF-FLIGHT CAMERA AND STEREO CAMERA FOR RELIABLE WIDE RANGE DEPTH ACQUISITION AND METHOD THEREFOR 有权时间相机和立体摄像机的合成系统可靠的宽范围深度采集及其方法公开(公告)号：US20130222550A1
公开(公告)日：2013-08-29
申请号：US13780555
申请日：2013-02-28
Applicant: Samsung Electronics Co., Ltd.
Inventor： Ouk Choi , Seung Kyu Lee
IPC: H04N13/02
CPC classification number: H04N13/25 , G01S17/023 , G01S17/36 , G01S17/89 , G06T7/593 , H04N13/257 , H04N13/271
Abstract: Provided is a synthesis system of a time-of-flight (ToF) camera and a stereo camera for reliable wide range depth acquisition and a method therefor. The synthesis system may estimate an error per pixel of a depth image, may calculate a value of a maximum distance multiple per pixel of the depth image using the error per pixel of the depth image, a left color image, and a right color image, and may generate a reconstructed depth image by conducting phase unwrapping on the depth image using the value of the maximum distance multiple per pixel of the depth image.
Abstract translation: 提供了一种用于可靠的宽范围深度采集的飞行时间（ToF）相机和立体相机的综合系统及其方法。 合成系统可以估计深度图像每像素的误差，可以使用深度图像，左彩色图像和右彩色图像的每像素的误差来计算深度图像的每像素的最大距离倍数的值， 并且可以通过使用深度图像的每像素的最大距离倍数的值在深度图像上进行相位展开来生成重建的深度图像。
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公开(公告)号：US20200053338A1
公开(公告)日：2020-02-13
申请号：US16660271
申请日：2019-10-22
Applicant: Samsung Electronics Co., Ltd.
Inventor： Hyoseok HWANG , Yang Ho Cho , Dong Kyung Nam , Ouk Choi
IPC: H04N13/133 , G06T3/00 , H04N13/257 , H04N13/246 , H04N13/15 , G06T7/33
Abstract: An apparatus for calibrating a multiview image may extract feature points from the multiview image and perform image calibration based on the extracted feature points, track corresponding feature points in temporally successive image frames of a first view image, and perform the image calibration based on pairs of corresponding feature points between the feature points tracked from the first view image and feature points of a second view image.
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Patent Agency Ranking
公开(公告)号：US10063831B2
公开(公告)日：2018-08-28
申请号：US15015447
申请日：2016-02-04
Applicant: Samsung Electronics Co., Ltd.
Inventor： Ouk Choi , Hyunsuk Ko , C. C. Jay Kuo , Han Suk Shim
CPC classification number: H04N13/122 , G06T7/85 , H04N13/239 , H04N13/246 , H04N13/25 , H04N2013/0081
Abstract: A method for stereo image rectification includes receiving a plurality of images and determining a matrix for performing rectification on the plurality of images based on a first cost function and a second cost function. The first cost function may be associated with a distance of a corresponding pair of points from among the plurality of images. The second cost function may be associated with distortion in a converted image.
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17.发明授权公开(公告)号：US09916667B2
公开(公告)日：2018-03-13
申请号：US14580895
申请日：2014-12-23
Applicant: Samsung Electronics Co., Ltd.
Inventor： Ouk Choi , Hyun Sung Chang
CPC classification number: G06T7/593 , H04N2013/0081
Abstract: A stereo matching apparatus and method through learning a unary confidence and a pairwise confidence are provided. The stereo matching method may include learning a pairwise confidence representing a relationship between a current pixel and a neighboring pixel, determining a cost function of stereo matching based on the pairwise confidence, and performing stereo matching between a left image and a right image at a minimum cost using the cost function.
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公开(公告)号：US09613403B2
公开(公告)日：2017-04-04
申请号：US14229088
申请日：2014-03-28
Applicant: Samsung Electronics Co., Ltd.
Inventor： Sun Kwon Kim , Kee Chang Lee , Ouk Choi , Do Kyoon Kim , Chang Yeong Kim
CPC classification number: G06T5/002 , G06T5/50 , G06T2207/10024 , G06T2207/10028 , G06T2207/20012 , G06T2207/20092 , G06T2207/30196
Abstract: An apparatus and method for out-focusing a color image based on a depth image, the method including receiving an input of a depth region of interest (ROI) desired to be in focus for performing out-focusing in the depth image, and applying different blur models to pixels corresponding to the depth ROI, and pixels corresponding to a region, other than the depth ROI, in the color image, thereby performing out-focusing on the depth ROI.
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19.发明申请IMAGE PROCESSING APPARATUS AND METHOD FOR DETECTING TRANSPARENT OBJECT IN IMAGE 有权用于检测图像中透明物体的图像处理装置和方法公开(公告)号：US20140112531A1
公开(公告)日：2014-04-24
申请号：US13888803
申请日：2013-05-07
Applicant: Samsung Electronics Co., Ltd.,
Inventor： Seung Won JUNG , Seung Kyu Lee , Ouk Choi , Do Kyoon Kim , Kee Chang Lee
CPC classification number: G06K9/6262 , G06K9/00 , G06K9/6217 , G06T2207/10028 , H04N5/225
Abstract: Provided is an image processing apparatus and method for detecting a transparent image from an input image. The image processing apparatus may include an image segmenting unit to segment an input image into a plurality of segments, a likelihood determining unit to determine a likelihood that a transparent object is present between adjacent segments among the plurality of segments, and an object detecting unit to detect the transparent object from the input image based on the likelihood.
Abstract translation: 提供了一种用于从输入图像检测透明图像的图像处理装置和方法。 图像处理装置可以包括将输入图像分割成多个片段的图像分割单元，确定透明对象存在于多个片段中的相邻片段之间的可能性的似然确定单元，以及对象检测单元 根据可能性从输入图像中检测透明物体。
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公开(公告)号：US09767596B2
公开(公告)日：2017-09-19
申请号：US14331357
申请日：2014-07-15
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Seung-won Jung , Ouk Choi , Do-kyoon Kim , Kee-chang Lee
CPC classification number: G06T15/005 , G06T3/4053 , G06T2207/10028
Abstract: A method of processing a depth image includes receiving a high-resolution color image and a low-resolution depth image corresponding to the high-resolution color image, generating a feature vector based on a depth distribution of the low-resolution depth image, selecting a filter to upsample the low-resolution depth image by classifying a generated feature vector according to a previously learnt classifier, upsampling the low-resolution depth image by using a selected filter, and outputting an upsampled high-resolution depth image.
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