A computational approach for corner and vertex detection
International Journal of Computer Vision
Underwater video mosaics as visual navigation maps
Computer Vision and Image Understanding - Special issue on underwater computer vision and pattern recognition
Reconstruction filters in computer-graphics
SIGGRAPH '88 Proceedings of the 15th annual conference on Computer graphics and interactive techniques
Turbo Coding
Error-Correction Coding for Digital Communications
Error-Correction Coding for Digital Communications
An Optimized Spatial Data Hiding Scheme Combined with Convolutional Codes and Hilbert Scan
PCM '02 Proceedings of the Third IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Geometrically invariant watermarking using feature points
IEEE Transactions on Image Processing
A geometrical robust image data hiding scheme using FCA-based resynchronization
IH'07 Proceedings of the 9th international conference on Information hiding
Content distribution and copyright authentication based on combined indexing and watermarking
Multimedia Tools and Applications
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This paper presents a new approach for data hiding with robustness to global geometric distortions. The global geometric distortions can be described by a 6-parameters affine transformation. Our scheme is designed for color images, which is combined with error-correcting code, double-channels steganography, feature point extraction, and triangle warping. Two color spaces of RGB images are considered two independent channels, one for synchronization information, and the other for a large amount of hiding data. The synchronization information consists of the coordinates of triangles' centers, cyclic redundancy check bits, and parity check bits of convolutional codes. Global geometric distortions can be estimated successfully by least square method and K-means method. Then a large amount of data with low bit-error rate can be decoded by SOVA algorithm of Turbo coding after the geometric adjustment. We also improve the method for feature point extraction. Simulation results show that our scheme is robust to rotation, scaling, translation, cropping, shearing, and so on.