We have witnessed great interest and a wealth of promise in content-based image retrieval
as an emerging technology. While the last decade laid foundation to such promise, it also …

Many computer vision techniques infer properties of our physical world from images.
Although images are formed through the physics of light and mechanics, computer vision …

Polygonal meshes provide an efficient representation for 3D shapes. They explicitly
captureboth shape surface and topology, and leverage non-uniformity to represent large flat …

Recent works in geometric deep learning have introduced neural networks that allow
performing inference tasks on three-dimensional geometric data by defining convolution …

" A picture is worth one thousand words". This proverb comes from Confucius-a Chinese
philosopher about 2500 years ago. Now, the essence of these words is universally …

The Core Experiment CE-Shape-1 for shape descriptors performed for the MPEG-7 standard
gave a unique opportunity to compare various shape descriptors for non-rigid shapes with a …

This book introduces the fundamental concepts of modern digital image processing. It aims
to help the students, scientists, and practitioners to understand the concepts through clear …

Learning an ideal metric is crucial to many tasks in computer vision. Diverse feature
representations may combat this problem from different aspects; as visual data objects …

In this paper, we introduce a new skeleton pruning method based on contour partitioning.
Any contour partition can be used, but the partitions obtained by discrete curve evolution …

The last decade has witnessed great interest in research on content-based image retrieval.
This has paved the way for a large number of new techniques and systems, and a growing …