In this paper we provide a broad survey of developments in active vision in robotic
applications over the last 15 years. With increasing demand for robotic automation, research …

The employment of unmanned aerial vehicles (UAVs) has greatly facilitated the lives of
humans. Due to the mass manufacturing of consumer unmanned aerial vehicles and the …

Biologically inspired artificial vision research has led to innovative robotic vision systems
with low optical aberration, wide field of view, and compact form factor. However, challenges …

Rapid development of artificial intelligence motivates researchers to expand the capabilities
of intelligent and autonomous robots. In many robotic applications, robots are required to …

We discuss the problem of inspecting an underwater structure, such as a submerged ship
hull, with an autonomous underwater vehicle (AUV). Unlike a large body of prior work, we …

Written by leading researchers, the 2nd Edition of the Dictionary of Computer Vision & Image
Processing is a comprehensive and reliable resource which now provides explanations of …

This paper presents a multi-phase, model-based approach to view planning for automated,
high fidelity object inspection or reconstruction by means of laser scanning range sensors …

In this paper, we study the problem of active visual search (AVS) in large, unknown, or
partially known environments. We argue that by making use of uncertain semantics of the …

Multi-view deep neural network is perhaps the most successful approach in 3D shape
classification. However, the fusion of multi-view features based on max or average pooling …

Camera viewpoint selection is an important aspect of visual grasp detection, especially in
clutter where many occlusions are present. Where other approaches use a static camera …