Principal Warps: Thin-Plate Splines and the Decomposition of Deformations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Active shape models—their training and application
Computer Vision and Image Understanding
Detecting Faces in Images: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume II - Volume II
Robert Penner's Programming Macromedia Flash MX
Robert Penner's Programming Macromedia Flash MX
Robust Real-Time Face Detection
International Journal of Computer Vision
Automatic Facial Image Manipulation System and Facial Texture Analysis
ICNC '09 Proceedings of the 2009 Fifth International Conference on Natural Computation - Volume 06
Multi-modal image registration using fuzzy kernel regression
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
A comparative study of image retargeting
ACM SIGGRAPH Asia 2010 papers
A Data Association Algorithm for People Re-identification in Photo Sequences
ISM '10 Proceedings of the 2010 IEEE International Symposium on Multimedia
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This paper presents a novel approach for the automatic generation of image slideshows. Counter to standard cross-fading, the idea is to operate the image transitions keeping the subject focused in the intermediate frames by automatically identifying him/her and preserving face and facial features alignment. This is done by using a novel Active Shape Model and time-series Image Registration. The final result is an aesthetically appealing slideshow which emphasizes the subject. The results have been evaluated with a users' response survey. The outcomes show that the proposed slideshow concept is widely preferred by final users w.r.t. standard image transitions.