Method for matching depth image
A depth image matching and depth technology, applied in the field of depth image matching, can solve problems such as easy to fall into local optimum, and achieve the effect of easy recognition, little influence by noise, and simple calculation
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specific Embodiment approach 1
[0063] The object to be matched in this specific embodiment is a regular-shaped vase, such as Figure 2a , 2b , 3a, and 3b, the first texture map T of the vase was collected from two fields of view with an included angle of 36° 1 , the second texture map T 2 and the first depth like P 1 , the second depth image P 2 . And get the first texture map T 1 with the first depth like P 1 Correspondence between and the second texture map T 2 with a second depth like P 2 corresponding relationship.
[0064] Such as Figure 4 As shown, in the first texture map T 1 Select the first texture map T from 1 and the second texture map T 2 The rectangular overlapping region R of . Such as Figure 5 As shown, a Gaussian filter is performed on the rectangular overlapping area R, and the Sobel operator is applied for edge extraction.
[0065] Such as Figure 6a As shown, the rectangular overlapping region R is divided into a plurality of uniform units. Each unit is scanned line by li...
specific Embodiment approach 2
[0086] The difference between this specific embodiment and specific embodiment 1 is:
[0087] The object to be matched in this specific embodiment is a small plastic figure with a free-form surface, and its depth data and texture data are collected from two fields of view with an included angle of 30°, and the matching of depth images is completed by using the method of the present invention. Figures 8a and 8b are texture images of two fields of view respectively, and Figs. 9a and 9b are depth images of two fields of view respectively. As shown in Figures 10a and 10b, this embodiment collects 10 pairs of texture feature points. The correlation coefficient and Hausdorff distance of these texture feature point pairs are shown in Table 2:
[0088] Table 2
[0089]
[0090] The Hausdorff distances of the 5th, 8th, and 10th feature point pairs in Table 2 are greater than the threshold h (13.34 pixels), and they are considered invalid. Select 5 values with ...
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