Sensors for Object Detection, Pose Estimation, and 3D Reconstruction
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensing and Imaging".
Deadline for manuscript submissions: 20 December 2024 | Viewed by 1199
Special Issue Editors
Interests: machine vision; 3D optical inspection; industrial augmented reality
Interests: computer vision; 3D reconstruction
Special Issue Information
Dear Colleagues,
This topic encompasses a range of technologies dedicated to gathering data from the environment to identify objects, estimate their spatial orientations, and construct detailed 3D representations. These sensors are pivotal across numerous domains, including robotics, augmented reality, autonomous vehicles, and computer vision.
Object detection sensors utilize various technologies such as cameras, LiDAR, RADAR, or depth sensors to perceive objects within their surroundings. These technologies are crucial for applications like autonomous vehicles and surveillance systems.
In the realm of 3D reconstruction, sensors collect data points from multiple vantage points and use algorithms to generate intricate 3D models of either the entire scene or specific objects within it. This process often involves methodologies like point cloud registration, surface reconstruction, and texture mapping.
Overall, the integration of various sensors for object detection, pose estimation, and 3D reconstruction enables advanced perception capabilities in robotics, computer vision applications, aviation, aerospace, automotive, and beyond.
Prof. Dr. Liyan Zhang
Dr. Shenglan Liu
Dr. Nan Ye
Guest Editors
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Keywords
- machine vision
- 3D optical inspection
- industrial augmented reality
- computer vision
- 3D reconstruction
- photogrammetry
- non-contact strain measurement
- image processing
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