1. Warping of 2D Facial Images Using Image Interpolation by Triangle Subdivision
- Author
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Jong-Yoon Kim, Jin-Mo Kim, and Hyung-Je Cho
- Subjects
Matching (graph theory) ,business.industry ,Computer science ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,Process (computing) ,Pattern recognition ,Feature (computer vision) ,Face (geometry) ,Image scaling ,Polygon mesh ,Computer vision ,Artificial intelligence ,Image warping ,business ,ComputingMethodologies_COMPUTERGRAPHICS ,Subdivision - Abstract
Image warping is a technology to transform input images to be suitable for given conditions and has been recently utilized in changing face shape of characters in the field of movies or animation. Mesh warping which is one of warping methods that change shapes based on the features of face forms warping images by forming rectangular mesh groups around the eyes, nose, and mouth and matching them 1:1. This method has a problem in the resultant images are distorted in the segments of boundaries between meshes when there are errors in mesh control points or when meshes have been formed as many small area meshes. This study proposes a triangle based image interpolation technique to minimize the occurrence of errors in the process of forming natural warping images of face and process accurate results with a small amount of arithmetic operation and a short time. First, feature points that represent the face are found and these points are connected to form basic triangle meshes. The fact that the proposed method can reduce errors occurring in the process of warping while reducing the amount of arithmetic operation and time is shown through experiments. Keywords : Facial image warping(얼굴 영상 워핑), Feature-based method(특징기반 방법), Triangle subdivision(삼각형 반복분할), Image interpolation(영상보간법), Mesh warping(메쉬워핑)
- Published
- 2014
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