Highly accurate registration is one of the essential requirements for numerous applications
of remote sensing images. Toward this end, we have developed a robust algorithm by …

For several years, researchers have focused on Reverse Engineering techniques, which
generate the geometric model of an object from a point set, a mesh, a triangulation, etc …

The K-means algorithm is one of the most employed centroid-based clustering algorithms.
Unfortunately, it often requires intricate data embeddings for good performance, which …

For several years, the reconstruction of Computer Aided Design (CAD) models from a
deformed mesh get more and more attention. This CAD model is used in order to visualize …

Vision-based inspection, measurement, and repair technologies are becoming extremely
significant in the manufacturing of display screens. These allow for concurrent luminance …

The rapid development of scanning technologies has led to new challenges in Computer
Aided Design (CAD) such as the reconstruction of the geometric model from a set of 3D …

This thesis addresses the problem of data representation for pattern recognition by focusing
on three fundamental properties: the efficiency, adaptivity, and interpretability of the …

We design an interpretable clustering algorithm aware of the nonlinear structure of image
manifolds. Our approach leverages the interpretability of $ K $-means applied in the image …

Interpolation of scattered data refers to the problem of passing a smooth surface through a
non-uniform distribution of data samples. In many science and engineering fields, where …