Recent Advances on RGB-D Camera Applications (2nd Edition)
RGB-D cameras have become more and more popular in recent years. Mainly with the appearance of affordable devices, such as Intel Real Sense, Microsoft's Kinects and ASUS’s Xtion Pro Live Sensors, which motivates a revolution in computer vision and vision related research. The combination of high-resolution depth and visual information opens up new challenges and opportunities for some of the most fundamental research areas, including robotics, 3D mapping, localization, object and activity recognition, people tracking, and object manipulation. However, these types of devices are limited in range, have low resolution and specify noises in the presence of scattering surfaces. This session seeks presenting the latest developments in low-cost RGB-D camera applications such as segmentation, tracking, feature extraction, noise modeling, super-resolution, enhancement, and ambiguity solving.
Authors are invited to submit full papers showing original research contributions.
The conference proceedings will be published in the Springer Lecture Notes in
Computer Science series (Springer LNCS). Prospective authors should submit an
electronic copy of their complete manuscript through the ICIAR 2016 submission system
Special Session Chairs
ICIAR - International Conference on Image Analysis and Recognition
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