The 6D pose estimation of an object from an image is a central problem in many domains of
Computer Vision (CV) and researchers have struggled with this issue for several years …

Crowd counting has important applications in the environments of smart cities, such as
intelligent surveillance. In this paper, we propose a novel convolutional neural network …

Augmented reality (AR) can convert complex work instructions into virtual–reality fusion
contents for assembly guidance. In the past, AR registration and occlusion were usually …

Driver gaze zone estimation is an important task in Advanced Driver Assistance Systems
(ADAS), which suffers difficulties including head pose, capture direction, glass occlusion …

Introduction Existing multi-view-based 3D model classification methods have the problems
of insufficient view refinement feature extraction and poor generalization ability of the …

Classifying 3D point clouds is an important and challenging task in computer vision.
Currently, classification methods using multiple views lose characteristic or detail …

Visual-inertial odometry is a fundamental technology exploited by autonomous vehicles and
mobile robots to determine their position in unknown environments. Indeed, many …

Accurate pose measurement is crucial for parallel manipulators (PM). This study designs a
novel integrated 6-DOF motion tracking system to achieve precise online pose …

Low-light image enhancement (LLIE) aims at refining illumination and restoring the details of
low-light images. However, current deep LLIE models still face two crucial issues causing …

Deep learning methods have revolutionized computer vision since the appearance of
AlexNet in 2012. Nevertheless, 6 degrees of freedom pose estimation is still a difficult task to …