Demonstrations
The University of Erlangen-Nuremberg will demonstrate how to visually analyze a hyperspectral image with our open-source software Gerbil. We show a novel workflow of multispectral/hyperspectral image inspection. The clustering methods presented in the paper are a key part of the interactive inspection process. The demonstration shows the application that motivates the algorithms and their performance.
| Location: | Booth #2 in Exhibits Area |
| Time: | Tuesday, September 17, 10:30-13:20 |
Contact: Johannes Jordan
University of Erlangen-Nuremberg
Martensstr. 3
Erlangen, Germany 91508
Email: Johannes.Jordan@cs.fau.de
Telephone: +49 9131 852891
Wolfram Research, Inc: Image processing is an application area stronghold in the comprehensive technical computing software Mathematica. The demonstration will exhibit the scope of the built-in two- and three-dimensional, image processing functionality as well as implementation aspects such as GPU programming, DLL linking, out of core capabilities, and interactive GUI creation for interactive IP applications.
| Location: | Booth #2 in Exhibits Area |
| Times: | Tuesday, 9/17/13, 14:40-17:30 |
Contact: Markus van Almsick, PhD, Paul Abbot, PhD
Wolfram Research, Inc.
100 Trade Center Drive
Champaign, Illinois, 61820, USA
Email: markusa@wolfram.com
Telephone: +1 217-398-0070, ext. 5634
Ricoh Company, Ltd., will introduce a new digital still camera with unique features during their hands-on technical demonstration session being held at ICIP 2013. It will provide you with novel research ideas. The new camera can capture fully spherical (4 pisr.) images in a single shot. Here is a link to more information about the camera: https://theta360.com/en/concept/
| Location: | Booth #3 in Exhibits Area |
| Times: | Monday, 9/16/13, 10:15-13:30 and 14:40-17:30 |
| Tuesday, 9/17/13, 10:30-13:20 and 14:40-17:30 | |
| Wednesday, 9/18/13, 10:15-13:10 and 14:40-17:30 |
Contact: Makoto Shohara
8-13-1 Ginza, Chuo-ku,
Tokyo, 104-822, Japan
Email: ncbo-contact@nts.ricoh.co.jp
Telephone:
Shenzhen University, China: Fast Multiview Face Detection - the face detection method is well designed which can achieve a very high detection rate with very few false detections. It outperforms most state-of-the art methods.
| Location: | Booth #2 in Exhibits Area |
| Times: | Monday, 9/16/13, 14:40-17:30 |
| Tuesday, 9/17/13, 10:30-13:20 | |
| Location: | Booth #6 in Exhibits Area |
| Times: | Tuesday, 9/17/13, 14:40-17:30 |
Contact: Shiqi Yu
Shenzhen University, China
School of Computer Science & Software Engineering
3688 Nanhal Avenue
Shenzhen, Guangdong, 518060, China
Email: shiqi.yu@szu.edu.cn
Telephone: + 86-755-26733127