Abstract The application of Augmented Reality (AR) can effectively reduce the cognitive load
of operators by presenting complex assembly work instruction with virtual augmented …

Abstract We introduce the Double Cost Volume Stereo Matching Network (DCVSMNet 1), a
novel architecture characterized by two upper (group-wise correlation) and lower (norm …

The UAV-borne video SAR (ViSAR) imaging system requires miniaturization, low power
consumption, high frame rates, and high-resolution real-time imaging. In order to satisfy the …

Convolutional neural networks (CNNs) have demonstrated promising results in various
applications such as computer vision, speech recognition, and natural language processing …

The smart grid revolution has only been possible, thanks to the development and
proliferation of smart meters. The increasingly growing computing capabilities for Internet of …

Stereo vision finds a wide range of applications in automotive, object detection, robot
navigation, agriculture map**, and others. Stereo matching is a stereo algorithm targeted …

Semi-global matching (SGM) is a low-cost method suitable for hardware implementation,
while it suffers from significant memory consumption. This brief presents a stereo-vision …

Many applications, such as autonomous driving, robotics, etc., require accurately estimating
depth in real time. Currently, deep learning is the most popular approach to stereo depth …

Current CNN-based stereo matching methods have demonstrated superior performance
compared to traditional stereo matching methods. However, map** these algorithms into …