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Study on Cnc Manufacturing-oriented Key 3d Portrait Modeling Technology and Its Application

Author: ChenGuoAn
Tutor: LiuFei
School: Chongqing University
Course: Mechanical and Electronic Engineering
Keywords: Feature Extraction 3D face modeling Portrait crafts Interpolation deformation
CLC: TP391.41
Type: Master's thesis
Year: 2011
Downloads: 23
Quote: 0
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Abstract


With CNC machining technology and computer technology, a class associated with the portrait portraits customization crafts emerged, and gradually formed a huge emerging industries, such as three-dimensional statues, real Barbie and real relief. Mainly through the traditional portrait handmade crafts, handmade products and this similarity depends heavily on real creators of art skills and production experience, it is difficult to form large industries. Portrait customization focuses on facial features crafts modeling. Currently Portrait crafts facial features most important means of modeling is to use two-dimensional image reconstruction of three-dimensional model portrait has been widely used character animation, television advertising, game production virtual scene, that the model is primarily a use texture mapping The resulting low-precision technology visual model, can not be directly used in product manufacturing. Portrait handicraft manufacturing of face geometry-oriented CNC programming and CNC machining, precision require a higher degree, reconstructed face model must be able to reflect on the geometry of the facial features. This paper studies how to use two positive side orthogonal images efficiently build for CNC machining of the face model and its customization Portrait crafts in the application, for the formation of a new industry to provide a theoretical method and technical support. The study includes the following aspects: study of image-based interactive facial feature points extraction method. Referring first to the MPEG-4 standard defines FDP face-dimensional parameter selection key features of the front side of the two-dimensional point set and the feature points set. Then move through the feature point set as a whole and individual interactive tuning feature points, respectively, were positive, side-dimensional face image feature points extracted. Finally, from the positive side of the two-dimensional three-dimensional facial feature points matching feature points. Studied based on image feature points and the three-dimensional displacement of the weighted average of the individual deformation of the face approach. In the image feature points, based on the three-dimensional and two-dimensional face image matching and image feature points based on the average of three-dimensional deformation of facial feature points. Finally, the use of the feature point displacement characteristics of non-linear weighting interpolation point deformation, resulting in a smooth specific three-dimensional face. In addition, three-dimensional face model for interactive editing of the initial discovery methods. For this paper, three-dimensional image feature extraction method and an average face personalized deformation algorithm in VC 6.0 platform and OpenGL graphics library based on a set of applications developed prototype system. Finally, the above methods and development of the system applied to the portrait crafts modeling, CNC machining gives a portrait with handmade crafts application integration scenarios. Case results show that the proposed method with the traditional handmade methods more efficient, crafts and pictures portrait similarity higher.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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