Three-dimensional scene object boundary detection method and device
A boundary detection and three-dimensional scene technology, applied in the field of computer vision, can solve problems such as the difficulty of estimating the boundary of objects, achieve the effect of reducing the impact on the boundary recognition effect, reducing the texture's influence on the boundary recognition effect, and improving the accuracy
Active Publication Date: 2014-06-11
TSINGHUA UNIV +1
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At this time, it will be difficult to estimate the correct object boundary using the existing above-mentioned algorithm
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[0027] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.
[0028] The following disclosure provides many different embodiments or examples for implementing different structures of the present invention. To simplify the disclosure of the present invention, components and arrangements of specific examples are described below. Of course, they are only examples and are not intended to limit the invention. Furthermore, the present invention may repeat reference numerals and / or letters in different instances. This repetition is for the purpose of simplicity and clarity and does not in itself indicat...
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The invention provides a three-dimensional scene object boundary detection method, comprising the following steps of: calculating differential coefficients of a brightness characteristic, a color characteristic, a brightness texture characteristic and a color texture characteristic of each pixel of a three-dimensional image in multiple directions; merging the differential coefficient of the brightness characteristic with the differential coefficient of the brightness texture characteristic in the same direction of each pixel to generate a first differential coefficient, and merging the differential coefficient of the color characteristic with the differential coefficient of the color texture characteristic in the same direction to generate a second differential coefficient; merging the differential coefficients of each pixel in the multiple directions to generate a third differential coefficient, and merging the second differential coefficients in the multiple directions to generate a fourth differential coefficient; and calculating a probability of taking each pixel as a boundary point according to the third coefficient and the fourth coefficient, thus obtaining an object boundary diagram. The invention further provides a three-dimensional scene object boundary detection device. The three-dimensional scene object boundary detection method and device can rapidly detect the boundary of an object in a three-dimensional scene, thereby remarkably reducing the influence of shadow and textures on the surface of the object on a boundary recognition effect.
Description
technical field [0001] The invention relates to the technical field of computer vision, in particular to a method and device for detecting the boundary of objects in a three-dimensional scene. Background technique [0002] Boundary detection plays an important role in computer vision technology. The early Canny algorithm uses a differential filter to filter the grayscale image, and can find the edge where the brightness jumps in the image. Some later algorithms detect object edges by detecting color mutations or changes in integrated brightness and color. However, in the actual 3D scene, it is unreliable to rely on the jump of color or brightness to judge the boundary of the object. On the one hand, the texture on the surface of an object is easily detected as an edge (such as the stripes of a zebra), and on the other hand, the brightness gradient and shadows produced by lighting are also detected as an edge. At this time, it will be difficult to estimate the correct obje...
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IPC IPC(8): G06T7/00G06K9/46
Inventor 戴琼海林靖宇曹汛王竞瑶
Owner TSINGHUA UNIV