公开(公告)号：US20160180188A1

公开(公告)日：2016-06-23

申请号：US14603282

申请日：2015-01-22

Applicant: Beijing University of Technology

Inventor： Lijuan Duan ,  Shuo Qiu ,  Wei Ma ,  Jun Miao ,  Jia Li

IPC: G06K9/46 ,  G06T7/00 ,  G06T5/10

CPC classification number: G06K9/4671 ,  G06K9/3233 ,  G06K9/4623 ,  G06T5/10 ,  G06T7/13 ,  G06T7/174 ,  G06T7/269 ,  G06T2207/10012 ,  G06T2207/10021 ,  G06T2207/20021

Abstract: The present invention discloses a method for detecting a salient region of a stereoscopic image, comprising: step 1) calculating flow information of each pixel separately with respect to a left-eye view and a right-eye view of the stereoscopic image; step 2) matching the flow information, to obtain a parallax map; step 3) selecting one of the left-eye view and the right-eye view, dividing it into T non-overlapping square image blocks; step 4) calculating a parallax effect value for each of the image blocks of the parallax map; step 5) for each of the image blocks of the selected one of the left-eye view and the right-eye view, calculating a central bias feature value and a spatial dissimilarity value, and multiplying the three values, to obtain a saliency value of the image block; and step 6) obtaining a saliency gray scale map of the stereoscopic image from saliency values of the image blocks. The present invention provides a method for extracting stereoscopic saliency based on parallax effects and spatial dissimilarity, acquiring depth information by utilizing parallax, and combining visual central bias feature and spatial dissimilarity to realize more accurate detection of a stereoscopic salient region.

公开(公告)号：US09501715B2

公开(公告)日：2016-11-22

申请号：US14603282

申请日：2015-01-22

Applicant: Beijing University of Technology

Inventor： Lijuan Duan ,  Shuo Qiu ,  Wei Ma ,  Jun Miao ,  Jia Li

IPC: G06K9/46 ,  G06T5/10 ,  G06T7/00

CPC classification number: G06K9/4671 ,  G06K9/3233 ,  G06K9/4623 ,  G06T5/10 ,  G06T7/13 ,  G06T7/174 ,  G06T7/269 ,  G06T2207/10012 ,  G06T2207/10021 ,  G06T2207/20021

Abstract: The present invention discloses a method for detecting a salient region of a stereoscopic image, comprising: step 1) calculating flow information of each pixel separately with respect to a left-eye view and a right-eye view of the stereoscopic image; step 2) matching the flow information, to obtain a parallax map; step 3) selecting one of the left-eye view and the right-eye view, dividing it into T non-overlapping square image blocks; step 4) calculating a parallax effect value for each of the image blocks of the parallax map; step 5) for each of the image blocks of the selected one of the left-eye view and the right-eye view, calculating a central bias feature value and a spatial dissimilarity value, and multiplying the three values, to obtain a saliency value of the image block; and step 6) obtaining a saliency gray scale map of the stereoscopic image from saliency values of the image blocks. The present invention provides a method for extracting stereoscopic saliency based on parallax effects and spatial dissimilarity, acquiring depth information by utilizing parallax, and combining visual central bias feature and spatial dissimilarity to realize more accurate detection of a stereoscopic salient region.

Abstract translation: 本发明公开了一种用于检测立体图像的显着区域的方法，包括：步骤1）分别计算相对于立体图像的左眼视图和右眼视图的每个像素的流动信息; 步骤2）匹配流信息，获得视差图; 步骤3）选择左眼视图和右眼视图之一，将其划分为T个非重叠的平方图像块; 步骤4）计算视差图的每个图像块的视差效应值; 步骤5）对于所选择的左眼视图和右眼视图中的每一个图像块，计算中心偏置特征值和空间相似度值，并且将三个值相乘以获得显着值 图像块; 和步骤6）从图像块的显着值获得立体图像的显着灰度图。 本发明提供一种基于视差效应和空间相异性提取立体显着性的方法，通过利用视差获取深度信息，并组合视觉中心偏置特征和空间相异性，以实现对立体显着区域的更准确的检测。