Vanishing point detection method for video signals rich in geometry information
A technology for geometric information and video signals, applied in image communication, image data processing, instruments, etc., can solve the problems of affecting display effect, insufficient, cumbersome accuracy of evanescent point detection algorithm, etc., to reduce the amount of calculation, reduce hardware consumption, Benefits for real-time implementation
Inactive Publication Date: 2014-07-23
XI AN JIAOTONG UNIV
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However, most of the above-mentioned vanishing point detection algorithms are cumbersome or not accurate enough.
This will lead to inaccurate assignment of the depth information of the 2D image, thereby affecting the display effect when the 2D image generates a 3D image
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[0030] The present invention will be described in further detail below in conjunction with the accompanying drawings.
[0031] Such as figure 1 , the algorithm of the present invention mainly comprises the following steps: 1. extract edge information, 2. extract line segments and screen them, 3. group line segments and screen them, 4. select a most significant line segment for each group of line segments, and 5. calculate undetermined vanishing points And select the final vanishing point.
[0032] A method for detecting a vanishing point of a video signal rich in geometric information, comprising the following steps:
[0033] Step 1. Extract edge information
[0034] Extract the brightness of the input image to obtain the brightness information of the image, then obtain the grayscale image, and filter the generated grayscale image to remove the noise in the image, obtain the filtered grayscale image, and filter the grayscale image Use the Sobel operator to find the edge of ...
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A vanishing point detection method for video signals rich in geometry information comprises: screening straight lines according to the lengths of the straight lines, wherein the straight lines are detected by carrying out Hough transformation on an edge image; grouping the straight lines according to the inclination angles of the straight lines; selecting a plurality of straight line groups out of the straight line groups according to the number of the straight lines contained in each group; selecting a straight line in each group of straight lines as the significant straight line of the group of straight lines, wherein the significant straight line is relatively long and has an inclination angle close to the mean value of the inclination angles of the straight lines of the group; determining the intersection points of every two selected straight lines; and selecting the optimal intersection point from the intersection points as the vanishing point to be detected. On the basis of guaranteeing the accuracy of the vanishing point detection, relative to the existing vanishing point detection algorithms, the vanishing point detection method of the invention reduces the amount of calculation and is easier for real-time hardware implementation.
Description
technical field [0001] The invention belongs to the technical field of video image processing and pattern recognition, in particular to a method for detecting the vanishing point of a video signal rich in geometric information, which is applied in 2D to 3D technology, and is easy to realize by hardware for a video signal rich in geometric information Vanishing point detection method. Background technique [0002] Perspective deformation exists in most real scene images in life. Under the effect of perspective deformation, a group of parallel line segments in space will converge to a point on the image plane. This point is called the vanishing point or vanishing point, which is considered are the points with the furthest depth in the field of view, and these line segments are called vanishing lines. Vanishing point detection is an important step in 3D scene interpretation, which can provide important 3D spatial information (such as scene depth, object size, etc.). [0003] ...
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IPC IPC(8): G06T7/00H04N13/02
Inventor 任鹏举葛晨阳李倩敏江豪陈磊姚慧敏郑南宁
Owner XI AN JIAOTONG UNIV