VISAPP 2007 Volume 1
نویسندگان
چکیده
In this paper a novel blind watermarking method of 3D volumes based on the Weighted 3D Krawtchouk Moments is proposed. The watermark is created by a pseudo-random number generator and is embedded on low order Weighted 3D Krawtchouk Moments. The watermark detection is blind, requiring only the user’s key. The watermark bit sequence is created using the key and its cross correlation with the Weighted 3D Krawtchouk Moments of the possible watermarked volume. The proposed method is imperceivable to the user, robust to geometric transformations (translation, rotation) and to cropping attacks.
منابع مشابه
Cued speech hand shape recognition - belief functions as a formalism to fuse svms and expert systems
As part of our work on hand gesture interpretation, we present our results on hand shape recognition. Our method is based on attribute extraction and multiple binary SVM classification. The novelty lies in the fashion the fusion of all the partial classification results are performed. This fusion is (1) more efficient in terms of information theory and leads to more accurate result, (2) general...
متن کاملExtraction of multi-modal object representations in a robot vision system
We introduce one module in a cognitive system that learns the shape of objects by active exploration. More specifically, we propose a feature tracking scheme that makes use of the knowledge of a robotic arm motion to: 1) segment the object currently grasped by the robotic arm from the rest of the visible scene, and 2) learn a representation of the 3D shape without any prior knowledge of the obj...
متن کاملVector quantisation based image enhancement
We present a new algorithm for rescaling images inspired by fractal coding. It uses a statistical model of the relationship between detail at different scales of the image to interpolate detail at one octave above the highest spatial frequency in the original image. We compare it with Bspline and bilinear interpolation techniques and show that it yields a sharper looking rescaled image.
متن کاملSpatiotemporal context in robot vision: Detection of static objects in the robocup four legged league
Having as a main motivation the development of robust and high performing robot vision systems that can operate in dynamic environments, we propose a context-based generic vision system for a mobile robot with a mobile camera. We choose as a first application for this vision system, the detection of static objects in the RoboCup Four Legged League domain. Preliminary results using real video se...
متن کاملAccurate image registration by combining feature-based matching and GLS-based motion estimation
In this paper, an accurate Image Registration method is presented. It combines a feature-based method, which allows to recover large motion magnitudes between images, with a Generalized Least-Squares (GLS) motion estimation technique which is able to estimate motion parameters in an accurate manner. The feature-based method gives an initial estimation of the motion parameters, which will be ref...
متن کامل