Titlebook: Representations, Analysis and Recognition of Shape and Motion from Imaging Data; 6th International Wo Boulbaba Ben Amor,Faten Chaieb,Faouzi

In-Situ

Enhancing 3D Face Recognition by a Robust Version of ICP Based on the Three Polar Representationion of the 3D face by an invariant description under the .(3) group of translations and rotations. This representation is materialized by the points of the arc-length reparametrization of all the level curves of the three polar representation. These points are indexed by their level curve number and

侵蝕

Engulf

Towards a Methodology for Retrieving Suspects Using 3D Facial Descriptorsis field, the standard method is to construct a facial composite, based on witness description, by an artist of via software, then search a match for it in legal databases. An alternative or complementary scheme would be to define a system of 3D facial attributes that can fit human verbal face descr

Instrumental

Key Frame Selection for Multi-shot Person Re-identificationthese systems is very limited as they ignore the immense amount of video data produced by the practical surveillance systems. In this paper, we present a novel multi-shot person re-identification approach based on key frame selection. We propose to conduct a global appearance signature by automatica

ethereal

An Exact Smoother in a Fuzzy Jump Markov Switching Modeles. The proposed approach allows the modeling of transient switches and handles the discontinuity feature in switching regime models by using fuzzy switches instead of hard jumps. Fuzzy switched based approach is more adapted to real-world application in which regime continuity is an intrinsic prope

Enrage

maladorit

Gaussian Bayes Classifier for 2D Shapes in Kendall Spacetric transformations. The Kendall space is a non linear space that coincides with the unit sphere modulo an isometry group. The proposed Riemannian metric is more apt in the case where shapes are different only in translation, scale and rotation. In addition to that, the manifold structure of this s

危險

Multimodal Image Fusion Based on Non-subsampled Shearlet Transform and Neuro-Fuzzythe recent years. Moreover, complimentary imaging modalities such as CT and MRI are able to improve medical reliability by reducing uncertainty. In this paper, we propose a new algorithm for multimodal medical image fusion based on non-subsampled shearlet transform (NSST) and neuro-fuzzy. Firstly, C

offense

揭穿真相

A Novel Robust Statistical Watermarking of 3D Mesheserimental results show the robustness of our method against cropping and other common attacks. Due to the stability of salient points, we can retrieve the watermarked region and extract the watermark. In addition, the performance of our method is also demonstrated on the minimal surface distortion in the embedding process.