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Digital camera-based three-dimensional measurement method of shoe tree and prepared shoe tree

A three-dimensional measurement and digital camera technology, applied in the field of measurement, can solve the problems of unguaranteed accuracy, inconvenient extraction, large workload, etc., and achieve the effects of low price, flexible measurement method, and simple measurement hardware.

Inactive Publication Date: 2012-11-07
QINGDAO UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Wu et al. studied the photogrammetry method of objects with curved feature structures (edges), and gave an optimization strategy for matching curves with the same name between images, but this method uses complete reconstruction targets such as corners and edges on the model. Interactive designation, on the one hand, has a large workload, and on the other hand, the accuracy cannot be guaranteed. It is not suitable for the measurement and modeling of industrial products. It is also very inconvenient and imprecise to extract the edges and other line targets completely by dragging the mouse.

Method used

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  • Digital camera-based three-dimensional measurement method of shoe tree and prepared shoe tree
  • Digital camera-based three-dimensional measurement method of shoe tree and prepared shoe tree
  • Digital camera-based three-dimensional measurement method of shoe tree and prepared shoe tree

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0121] Shoe last wiring and image shooting

[0122] In this embodiment, the marked curves on the shoe tree are as follows: figure 1 shown. First, the shoe last is routed according to the characteristics that determine the geometric shape of the shoe last to form an image curve, and the target curve that needs to be reconstructed is marked on the shoe last with a colored paper tape of a certain color and width, so that the target curve is consistent with the color and brightness of the shoe last. The outer surface of the shoe last is clearly distinguished to facilitate image processing and identification. In order to reconstruct the characteristic curve of the partially lost or partially occluded image, the marked shoe last is photographed with a digital camera from different angles and multiple images are obtained.

Embodiment 2

[0124] Acquisition of characteristic curves

[0125] The color image taken in Example 1 was converted into a grayscale image, and Gaussian filtering was used to smooth the image to suppress noise and improve image quality, and then the image skeleton was extracted using the mathematical morphology thinning algorithm.

[0126] Let B=(B 1 , B 2 ) is a given structural element, and B 1 , b 2 disjoint, then for the image set X to be refined, the structural element B is used to represent the hit-and-miss transformation of the image X, and for a given image X and the structure pair sequence B={B 1 , B 2 ,L,B n}, first select the structural element B 1 Thinning the image X, and recording the thinning result as reuse the element B in the sequence of structures 2 right refinement, and the refinement result is recorded as Continue the refinement process until B n The refinement is completed, and the refinement result is The whole process can be repeated until the image no ...

Embodiment 3 3

[0151] Embodiment 3 Reconstruction of three-dimensional curve

[0152] An image curve γ(l) can be parameterized by a single variable l∈[a,b]. Suppose there are m image curves with the same name γ i (l i ), 0≤i≤m-1, each curve has its own parameter l i ∈[a i , b i ]. Assume that each curve is connected by two endpoints, and the matching of these two endpoints on m images is known. Without loss of generality, select γ 0 As the longest image curve, assume γ 0 (a 0 ) and γ i (a 0 ) corresponds, 1≤i≤m-1. Therefore, to obtain the correspondence of point columns on m curves with the same name between different images, it is actually to solve the m-1 mapping function, 1≤i≤m-1, mapping[a 0 , b 0 ] to [a i , b i ], each mapping function is a monotonically increasing function.

[0153] Referring to Wu's curve matching optimization method, after the B-spline curve is discretized, dynamic programming is used to initially match the discrete pixel points on the correspondin...

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Abstract

The invention discloses a digital camera-based three-dimensional measurement method of a shoe tree. The three-dimensional measurement method comprises the following steps: step 1, shoe tree wiring, namely wiring is performed as per the characteristics determining the geometry of the shoe tree, and a target curve needing to be rebuilt is marked to serve as a mark curve; step 2, image taking, namely, the shoe tree marked by the digital camera is taken from different angles to obtain a plurality of images; step 3, image characteristic curve obtaining, namely the lines of mark curves of the shoe tree in various images are subjected to image processing to extract the frameworks of the mark curves, and the frameworks are fit by utilizing an improved snake model so as to obtain the image characteristic curves; and step 4, three-dimensional rebuilding of the image characteristic curves namely, a three-dimensional characteristic curve is obtained and is fit into a three-dimensional shoe tree model. Compared with a conventional method, the digital camera-based three-dimensional measurement method has the advantages of simple measurement hardware, low price, flexible measurement method, and can perform three-dimensional rebuilding of the characteristic curves under the condition that part of image curves is lost or blocked.

Description

technical field [0001] The invention belongs to the technical field of measurement, and in particular relates to a method for three-dimensional measurement of a shoe last based on a digital camera by using a plurality of characteristic curve images. Background technique [0002] The shoe last is the basis and important mold for shoemaking. As the matrix of the shoe, the shoe last not only determines the length, fatness and shape of the shoe, but also determines the wearing comfort of the shoe. Therefore, the shape of the shoe last is very important. The shape of each person's feet is different. It is impractical to make a shoe last for each person in order to achieve maximum foot customization. With the help of 3D scanners, reverse engineering can be realized. Carry out three-dimensional measurement of the existing standard shoe last, convert the model into data, and then use relevant software to carry out three-dimensional solid modeling on the surface of the shoe last to ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A43D1/04A43D3/00
Inventor 张维忠潘振宽张弛张峰
Owner QINGDAO UNIV
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