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The iterative closest point (ICP) algorithm is fast and accurate for rigid point set registration, but it works badly when there are many outliers and noises in the point sets. This paper instead proposes a novel method based on the ICP algorithm to deal with this problem. Firstly, correntropy is introduced into the rigid registration problem and then a new energy function based on maximum correntropy...
This paper proposes a novel method via dynamic tree to solve the non-rigid registration of point sets with large shape difference which is a difficult problem for existing methods. Affine ICP algorithm with bidirectional distance is employed to evaluate the similarity between two point sets, and then non-rigid registration is conducted on similar models and subjects. Subjects with accurate registration...
One of the main bottle-necks in traditional facial age estimation is the lack of training sample problem. The rapid development of Internet provides us new chance to solve this problem. Unlimited number of facial images with their age labels can be collected through web mining technique. These images together with their surrounding text description make up the simplest cross-media data representation...
This paper describes an automated interaction for triggering the cricket's pheromone behavior by controlling a micro mobile robot based on pose estimation. In our developing systems a micro mobile robot : Ecobe mounted a cricket s head is introduced as a physical agent to interact with the cricket. Both of location of the cricket and mobile robot is estimated by on-line particle filter based color...
Iterative Closest Point (ICP) is a classical algorithm for rigid point set registration. However, with the number of points in the set increasing, its computational efficiency usually suffers a reduction, which limits the practical applications of this algorithm. Based on Weber's Law in psychophysics, this paper proposes a fast ICP algorithm based on hierarchical and multi-resolution model for point...
A method of learning image bases from natural images is proposed in this paper. Natural image is decomposed into structure mode and non-structure mode by using Empirical Mode Decomposition (EMD) technique. The structure mode is made up of the first two Intrinsic Mode Functions (IMF) that represent the structure information of image. The other IMFs and residual image compose the non-structure mode...
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