International Conference on Image Analysis and Recognition

International Conference
on Image Analysis and Recognition

ICIAR 2013
June 26-28, 2013, Póvoa de Varzim, Portugal
Association for Image and Machine Intelligence

Special Sessions

Recent Advances on RGB-D Camera Applications

RGB-D cameras have become more and more popular in the last years. Mainly with the appearance of affordable devices, such as Microsoft's Kinect 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 RGB-D camera applications such as segmentation, tracking, feature extraction, noise modeling, super-resolution, enhancement, and ambiguity solving.

Submission procedure

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 2013 submission system by January 18, 2013 January 31, 2013, selecting the special session topic in their submission. All submitted papers will be reviewed by at least two independent reviewers.

Important Dates

  • Paper submission deadline: January 18, 2013 January 31, 2013
  • Notification: March 1, 2013
  • Camera-ready version: March 15, 2013
  • Conference: June 26-28, 2013

Special Session Chairs

H�lder P. Oliveira
University of Porto, Portugal
[email protected]

Jaime S. Cardoso
University of Porto, Portugal
[email protected]

ICIAR - International Conference on Image Analysis and Recognition
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