Transforming Vision Systems: Advances in 3D Scene and Object Recognition
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 10 December 2024 | Viewed by 202
Special Issue Editors
Interests: computer vision; deep learning; 3D object recognition; mapping; navigation; robotics
Special Issues, Collections and Topics in MDPI journals
Interests: computer vision; deep learning; 3D object recognition; mapping; navigation; robotics
Special Issues, Collections and Topics in MDPI journals
Interests: machine learning; computer vision; pattern recognition; gesture recognition; object recognition; neural networks; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The understanding of 3D scenes and object recognition have advanced significantly in recent years, driven by the integration of machine learning, computer vision, and artificial intelligence. This technology focuses on the ability of systems to interpret and understand three-dimensional environments, recognizing and categorizing objects within these scenes with high accuracy. Such applications span across various industries, including autonomous driving, robotics, augmented reality, and smart surveillance. The latest techniques leverage deep learning algorithms, LiDAR, and stereo vision to enhance spatial awareness and object detection capabilities, pushing the boundaries of what machines can perceive and comprehend in complex environments.
Dr. Félix Escalona Moncholí
Prof. Dr. Miguel Angel Cazorla
Dr. Francisco Gomez-Donoso
Guest Editors
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Keywords
- 3D scene understanding
- object recognition
- machine learning
- computer vision
- artificial intelligence
- autonomous driving
- robotics
- augmented reality
- deep learning
- LiDAR
- stereo vision
- spatial awareness
- object detection
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