Titlebook: Representations, Analysis and Recognition of Shape and Motion from Imaging Data; 7th International Wo Liming Chen,Boulbaba‘Ben Amor,Faouzi

即席演說

A Normalized Generalized Curvature Scale Space for 2D Contour Representationity and the robustness of the novel description. The Dynamic Time Warping distance is the similarity metric used. Experimental results show that considerable rates of image retrieval are reached comparing to the state of the art.

珍奇

A New Watermarking Method Based on Analytical Clifford Fourier Mellin Transforms AFMT modulus, is invariant against planar similarities, not only on gray level images but also on colored images. Using ACFMT magnitude, we propose a robust watermarking technique in the frequency domain.

DOSE

Throttle

受傷

Stereo Matching Confidence Learning Based on Multi-modal Convolution Neural Networksnfidence. Furthermore, we explore and compare the confidence prediction ability of multiple modality data. Finally, we evaluate our network architecture on KITTI data sets. The experiments demonstrate that our multi-modal confidence network can achieve competitive results while compared with the state-of-the-art methods.

oxidant

ANTH

種類

Defining Mesh-LBP Variants for 3D Relief Patterns Classification Then, we proposed a complete framework for relief patterns classification, which performs mesh preprocessing, multi-scale mesh-LBP extraction and descriptors classification. Experimental results on the SHREC’17 dataset showed competitive performance with respect to state of the art solutions.

JADED

florid

A Comparison of Scene Flow Estimation Paradigmspe and motion estimation are decoupled, in accordance to a large segment of the relevant literature. The first approach is faster and considers only one optical flow field and the depth difference between pixels in consecutive frames to generate a dense scene flow estimate. The second approach is mo