A material appearance acquisition method based on kinect equipment

A technology of material appearance and acquisition method, which is applied in the direction of instruments, character and pattern recognition, computer components, etc., can solve the problems of inapplicability, achieve good user experience, reduce the difficulty of getting started, and achieve the effect of low cost

Active Publication Date: 2018-01-30
ZHEJIANG UNIV
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  • Abstract
  • Description
  • Claims
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Problems solved by technology

This assumption does not apply to low-end RGB-D

Method used

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  • A material appearance acquisition method based on kinect equipment
  • A material appearance acquisition method based on kinect equipment
  • A material appearance acquisition method based on kinect equipment

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Experimental program
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Embodiment

[0110] A desktop computer equipped with Intel i7 4790K CPU has realized the embodiment of the present invention. Using the parameter settings mentioned in the specific implementation in the implementation, the attached figure 2 results in .

[0111] A prototype system of the method was tested with various objects of different sizes and materials. The results show that the present invention can obtain satisfactory results for spherical Christmas balls of various materials, teapots with large specular reflection areas, and leather bags with complex normal vectors. The required acquisition processing time averaged 40 minutes.

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Abstract

The invention discloses a material appearance collection method based on a Kinect device. The method uses a single Microsoft somatosensory device Kinect to collect the material appearance of an object, and finally obtains a six-dimensional appearance function of the object that changes with different positions, illuminations, and viewing angles. , the normal vector of each position of the object and the surrounding ambient light when the object is collected. The method consists of three steps: acquisition of object geometry and RGB image, joint optimization and post-processing of object normal vector, bidirectional reflectance distribution function (BRDF), camera orientation and ambient lighting. The present invention does not use professional or expensive collection equipment, and only needs ordinary Kinect equipment to collect the surface material and normal vector of the non-planar object and the ambient light of the measured object.

Description

technical field [0001] The invention relates to a material appearance collection technology, in particular to a Kinect device-based material appearance collection method. Background technique [0002] The relevant research background of the present invention is briefly described as follows: [0003] Camera orientation optimization based on input RGB images is a classic problem. There are many methods to optimize by maximizing the consistency of the input image (B ERNARDINI, F., MARTIN, I.M., AND RUSHMEIER, H.2001. High-quality texture reconstruction from multiple scans.IEEETrans.Vis.Comp.Graph .7, 4, 318–332. CORSINI, M., DELLEPIANE, M., GANOVELLI, F., GHERARDI, R., FUSIELLO, A., AND S COPIGNO, R., 2013. Fully automatic registration of image sets on approximate geometry, March.). Recently, there is an algorithm for optimizing camera orientation for diffuse material objects (ZHOU,Q.-Y.,AND KOLTUN,V.2014.Color map optimization for 3d reconstruction with consumer depth camer...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G06K9/46
Inventor 周昆吴鸿智王钊天
Owner ZHEJIANG UNIV
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