Cultural relic line graph drawing method based on vision-dependent curvature estimation

A technology of line and curvature of cultural relics, applied in calculation, image data processing, 3D modeling, etc., can solve the problems of heavy work intensity, slow speed of manual archaeological drawing, low precision, etc., to achieve slow solution speed, avoid a large number of calculations, noise The effect of fewer lines

Inactive Publication Date: 2017-08-08
NORTHWEST UNIV(CN)
View PDF2 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide a drawn line graph that is more in line with the actual needs of archaeological work. Through the sharpening algorithm corresponding to the smoothing algorithm, local sharpening is performed on the basis of the mean value of ε in the archaeological field to ensure The details of the texture of the cultural relics are drawn; the line drawing method of cultural relics based on visually dependent curvature estimation effectively solves the problems of slow speed, low precision and high work intensity of manual archaeological drawing

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Cultural relic line graph drawing method based on vision-dependent curvature estimation
  • Cultural relic line graph drawing method based on vision-dependent curvature estimation
  • Cultural relic line graph drawing method based on vision-dependent curvature estimation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0123] The object of the experiment is the leaky clock in the tomb of Zhangtang in the Western Han Dynasty. The 3D model after preprocessing is as follows: Figure 12 shown.

[0124] 1. Estimate the discrete curvature of the triangular mesh model in the test and display the curvature distribution Figure 13 .

[0125] Figure 13 is true Figure 12 The curvature distribution map of the triangular mesh model in , after the discrete curvature estimation, where the green color is the interval allocation whose curvature value is close to zero. Divide the sampling curvature greater than zero into 2 groups, and assign 2 colors from red to green according to the curvature; divide the sampling curvature less than zero into 2 groups, and assign 2 colors from green to blue.

[0126] Experiments show that the model curvature distribution map obtained by using the discrete mean curvature of the triangular mesh model is better than the model curvature distribution map obtained by the ot...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a cultural relic line graph drawing method based on vision-dependent curvature estimation, comprising the following steps: estimating the discrete curvature of the vertexes of a triangular mesh model; dividing the model into a flat region and a feature region according to the curvature distribution of the model; sharpening and filtering the vertexes belonging to the feature region, and calculating out new triangular mesh model vertex coordinates; and extracting the feature contour line of the triangular mesh model, and generating lines, thus completing the drawing of a plane line graph of a 3D model of a cultural relic. According to the invention, a 3D model of a cultural relic is locally sharpened through a sharpening algorithm corresponding to a smoothing algorithm based on the mean Epsilon in the field of archaeology so that the texture details of the cultural relic can be drawn. The visual contour line of the surface of the cultural relic model is extracted based on vision-dependent curvature estimation, and then, a cultural relic line graph consistent with the visual perception of archaeologists is drawn automatically. The problem that manual archaeological drawing is slow, low in precision and high in work intensity is solved. The cultural relic line graph drawing method is a simple, efficient and practical computer-aided archaeological line graph drawing method.

Description

technical field [0001] The invention belongs to the technical field of line drawing drawing of cultural relics, and in particular relates to a line drawing method of line drawing of cultural relics based on visually dependent curvature estimation. Background technique [0002] Archaeological mapping is a basic work for the protection of cultural relics. During archaeological excavation, archaeologists need to draw line drawings of cultural relic fragments to describe the size, shape, structure, pattern and texture of cultural relics. High-quality line maps of cultural relics can be used for excavation report illustrations, paper illustrations, monographs and textbook illustrations, and exhibition charts, etc., with functions such as archive storage, auxiliary cultural relic restoration and protection, archaeological research, and cultural publishing. Using the traditional manual method of orthographic projection, it is necessary to draw a line map of cultural relics based o...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06T17/30
Inventor 刘军周明全耿国华沈映全周泩朴
Owner NORTHWEST UNIV(CN)
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products