Three-dimensional shape searching is a problem of current interest in several different
fields. Most techniques have been developed for a particular domain and reduce a shape …

With the explosive growth of the World Wide Web, the public is gaining access to massive
amounts of information. However, locating needed and relevant information remains a …

Although RGB-D sensors have enabled major breakthroughs for several vision tasks, such
as 3D reconstruction, we have not attained the same level of success in high-level scene …

How do we retrieve images accurately? Also, how do we rank a group of images precisely
and efficiently for specific queries? These problems are critical for researchers and …

Object recognition systems constitute a deeply entrenched and omnipresent component of
modern intelligent systems. Research on object recognition algorithms has led to advances …

There are currently two dominant interface types for searching and browsing large image
collections: keyword-based search, and searching by overall similarity to sample images …

The emergence of digital pathology has opened new horizons for histopathology. Artificial
intelligence (AI) algorithms are able to operate on digitized slides to assist pathologists with …

In this paper, we present a novel image representation that renders it possible to access
natural scenes by local semantic description. Our work is motivated by the continuing effort …

Advances in data storage and image acquisition technologies have enabled the creation of
large image datasets. In this scenario, it is necessary to develop appropriate information …

We extend the constellation model to include heterogeneous parts which may represent
either the appearance or the geometry of a region of the object. The parts and their spatial …