Robotics and 3D Computer Vision

Dear Colleagues,

With the appearance of the low-cost Microsoft Kinect sensor about a decade ago, followed by other time-of-flight and structured light sensors with affordable prices, research in the field of 3D computer vision exploded overnight. Prior to this, real-time 3D vision was mainly performed using stereo vision and Lidar sensors. Previous stereo vision with software-based image processing was outlier-prone, especially when homogenous surfaces were involved. Laser-based Lidar, on the other hand, is amongst the most accurate of the three groups of sensors but this type of sensor is still relatively expensive. Recent advancements in stereo vision algorithms and hardware have resulted in fast and accurate setereo vision sensors with hardware-based image processing.

The current rapid innovation in robotics is driven by 3D vision capabilities. For mobile robots, and as industrial robots to successfully work in unstructured environments, accurate 3D scene reconstruction and understanding as well as localization capabilities are required.

This Topical Collection aims to cover different aspects of the recent advances of 3D vision, especially in the field of robotics. Topics of interest include (but are not limited to):

• 3D scene reconstruction and understanding;
• Localization;
• 3D object recognition and representation;
• Applications of 3D vision in various field, e.g., medicine, agriculture,industry, automotive, etc.

Dr. Emmanuel Karlo Nyarko
Dr. Damir Filko
Prof. Dr. Robert Cupec
Dr. Juha Röning
Collection Editors

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