[Show abstract][Hide abstract] ABSTRACT: This paper presents a feature-based dual watermarking method for the high quality images on the World Wide Web. Recently, many high quality images have been distributed on the Internet. However, they may be attacked easily by using general graphics tools and distorted by embedding of watermark or fingerprinting codes. In order to overcome these problems, we proposed a dual watermarking method that watermark and fingerprinting codes are embedded in the specified area of images using the feature points. We use the template against geometric attack and the fingerprinting code is embedded around feature points created by the difference of low frequency images after applying the Coiflets wavelet and the Daubechies wavelet. This method shows excellent robustness against geometric distortions and compression attacks.
Proceedings of the 2006 International Conference on Image Processing, Computer Vision, & Pattern Recognition, Las Vegas, Nevada, USA, June 26-29, 2006, Volume 2; 01/2006
[Show abstract][Hide abstract] ABSTRACT: This paper proposes a novel fast protein structure alignment algorithm and its application. Because it is known that the functions of protein are derived from its structure, the method of measuring the structural similarities between two proteins can be used to infer their functional closeness. In this paper, we propose a 3D chain code representation for fast measuring the local geometric similarity of protein and introduce a backtracking algorithm for joining a similar local substructure efficiently. A 3D chain code, which is a sequence of the directional vectors between the atoms in a protein, represents a local similarity of protein. After constructing a pair of similar substructures by referencing local similarity, we perform the protein alignment by joining the similar substructure pair through a backtracking algorithm. This method has particular advantages over all previous approaches; our 3D chain code representation is more intuitive and our experiments prove that the backtracking algorithm is faster than dynamic programming in general case. We have designed and implemented a protein structure alignment system based on our protein visualization software (MoleView). These experiments show rapid alignment with precise results.
MICAI 2006: Advances in Artificial Intelligence, 5th Mexican International Conference on Artificial Intelligence, Apizaco, Mexico, November 13-17, 2006, Proceedings; 01/2006
[Show abstract][Hide abstract] ABSTRACT: This paper presents a visual tracking algorithm for the golf swing motion analysis by using the information of the pixels of video frames and movement of the golf club to solve the problem fixed center point in model based tracking method. The model based tracking method use the polynomial function for trajectory displaying of upswing and downswing. Therefore it is under the hypothesis of the no movement of the center of gravity so this method is not for the amateurs. we proposed method using the information of pixel and movement, we first detected the motion by using the information of pixel in the frames in golf swing motion. Then we extracted the club head and hand by a properties of club shaft that consist of the parallel line and the moved location of club in up-swing and down-swing. In addition, we can extract the center point of user by tracking center point of the line between center of head and both foots. And we made an experiment with data that movement of center point is big. Finally, we can track the real trajectory of club head, hand and center point by using proposed tracking algorithm.