Texture Features for Browsing and Retrieval of Image Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
Synthesizing realistic facial expressions from photographs
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
A silhouette-based algorithm for texture registration and stitching
Graphical Models
Modeling and Animating Realistic Faces from Images
International Journal of Computer Vision
An Image Registration Algorithm Based on Cylindrical Prototype Model
ICCS '01 Proceedings of the International Conference on Computational Science-Part II
Realistic 3D Face Modeling by Fusing Multiple 2D Images
MMM '05 Proceedings of the 11th International Multimedia Modelling Conference
A level-set approach to image blending
IEEE Transactions on Image Processing
Multiple textures stitching and blending on 3D objects
EGWR'99 Proceedings of the 10th Eurographics conference on Rendering
Hi-index | 0.00 |
In this paper, we suggest an image registration algorithm based on an ellipsoidal model with size-variable blocks that is similar in shape to a human face. While blocks are matched, the existing cylindrical model only considers that left-right curvature can accomplish a correct alignment on left and right images. However, registration errors are produced from up and down images as the cylindrical model does not reflect human head and jaw shape characteristics. The proposed algorithm exploits a block matching algorithm that uses size-variable blocks. The left-right and up-down curvature of the ellipsoidal face model is considered and input images are correctly aligned using their correlation. Next, we employ an image mosaic technique to generate a realistic facial texture from the aligned images. We stitch the images by assigning linear weights according to the overlapped regions and remove ghost effects to make the facial texture more natural. The experimental results show that the proposed algorithm can realistically generate 3D facial textures compared to other conventional methods.