Keynote Speeches

Volume holography used in pattern recognition
Prof. Guofan Jin
Department of Precision Instrument, Tsinghua University, China
Biography:
Prof. Guofan Jin graduated from the Mechanical Engineering Department, Peking University in 1950. He worked as an assistant, associate professor, and full professor in Tsinghua University till now. During 1985-1990 he served as the Chairman of the Department of Precision Instruments and during 1995-1999 as the Dean of School of Mechanical Engineering in Tsinghua University. During 1991-1995 he was elected to be the vice-president of the National Natural Science Foundation of China. And in 1994 he was elected as a member of the Chinese Academy of Engineering. He is also very active in social activity, such as, he is the honorary president of the Chinese Instrument Society, was the vice-president of the Committee of Science and Technology of the Ministry of Education of China, the Honorary President of Beijing Optical Society, the Board Member of the Chinese Academy of Engineering, and was the Vice-president of the Chinese Optical Society. In 1999 he was elected as the President of the Asian Pacific Federation of Instrument and Control Society, in 2002 as the vice-president of International Commission for Optics. His current interests in research are optical computing, binary optics, optical data storage and nanophotincs. He has published three books Computer Generated Holograms, Binary Optics and Measurements of Laser Techniques, and more than two hundred journal papers. He has been awarded many National Awards of Science and technology from the Ministry of Science and Technology of China. He was awarded the Tremendous Contribution Award by Tsinghua University in 2013. He is a Fellow of OSA and SPIE.
Abstract:
A volume holographic correlator (VHC) is an optical correlator based on high-density and high-capacity optical volume holographic storage technology. With its intrinsic optical parallelism and multi-channel processing ability, the VHC is capable to extract inner products between one input image and all the pre-stored images with high speed and high parallelism. The VHC has potential applications in areas of pattern recognition where requiring high-speed, real-time, and high-capacity processing. To improve the performance of the VHC, especially computing accuracy and channel capacity, a series of effective methods has been proposed and proved valid in our research group in the past ten years. The speckle modulation method helps suppress the cross-talk noise from the sidelobes of the correlation patterns, allowing more output channels to be contained in the output plane. The two-dimensional interleaving method was proposed to eliminate the pattern-dependent behavior that decreases the accuracy of VHC by unifying the patterns of different images without altering the inner products between them. Recently, our volume holographic storage and correlation system can store more than 7500 parallel channels at a data storage density of about 80Gb/cm3. The system can perform real time computing for pattern recognition at the computing speed of higher than 180 GHz. The applications of the correlator in scene matching and fingerprint identification are demonstrated and our correlator is robust to the rotation and scale distortions of the images during the pattern recognition.
Recent Developments in 3D Vision, Image Segmentation and Probabilistic Visual Tracking
Dr. Jonathan Wu
Department of Electrical and Computer Engineering, University of Windsor, Canada
Biography:
Dr. Jonathan Wu is a Professor of Electrical and Computer Engineering and a Tier 1 Canada Research Chair in Automotive Sensors and Information Systems since 2005. He is the founding director of the Computer Vision and Sensing Systems Laboratory at the University of Windsor, Canada. Prior to joining the University, Dr. Wu was a Senior Research Officer and Group Leader at the National Research Council of Canada (NRC). He has published one book in the area of 3D vision and more than 300 peer-reviewed papers (including 150 journal publications) in areas of computer vision, multimedia information processing, and intelligent systems. Dr. Wu is an Associate Editor for IEEE Transaction on Neural Networks and Learning Systems, and IEEE Transaction on SMC: Systems. He is also on the editorial board of the International Journal of Robotics and Automation. Dr. Wu has served on the Technical Program Committees and International Advisory Committees for many prestigious conferences including IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
Abstract:
Many applications benefit from the ability to "see in 3D", and use the depth information to measure distances, estimate the shape of surfaces, inspect manufactured objects or track objects in a complex environment. The progression from 2D to 3D relies on techniques such as triangulation and stereovision, which have given rise to new applications and opportunities in areas such as industrial inspection and quality control, surveillance and security, face and gesture recognition, vision-guided robotics, bio-medical imaging, virtual reality, and intelligent transportation, among others. However real word conditions like cluttered scenes, lighting, occlusions, sudden depth changes, variable textures of the objects, reflections, transparencies, complex motions, pose a significant challenge in generating precise depth maps. Miniaturization of components, and advances in key technologies like sensors, processors, and optics has helped in creating a new generation of 3D "smart" sensors that utilize embedded processing, resulting in cost-effective, low power consuming, light weight systems that provide superior performance and accuracy levels. In this talk, we first of all briefly review the state-of-the-art in 3D sensors and their applications. Then we discuss the development of a fully integrated, miniaturized, embedded, real-time stereo vision system, followed by the presentation of research results related to the development of new Gaussian mixture models for image segmentation and probabilistic object tracking systems.
Silicon Photonics: a converging point of microelectronics and photonics
Zhiping Zhou
Peking University, China
Email: zjzhou@pku.edu.cn
Biography:
Zhiping (James) Zhou received his Ph.D. (EE) degree from Georgia Institute of Technology (GT), USA, in 1993. From 1993 to 2005, he was with the Microelectronics Research Center at GT, where he engaged research and development in the areas of nanotechnology; nanophotonic devices and sensors; ultra-fast optical communications; integrated optoelectronics; semiconductor devices and sensors; and vector rigorous diffraction analysis. He is now a “Changjiang” Professor at Peking University, Beijing, China, focusing on silicon photonics and microsystems research. He has been credited for over 360 technical papers and presentations, and holds 15 patents.
He is a Fellow of OSA, SPIE, and IET, a senior member of IEEE, and a life member of PSC. He serves as the Editor-in-Chief of Photonics Research and is on OSA Board of Editors. He was Chair of IEEE Wuhan Section, 2007-2008, Director of IEEE Atlanta Section, 2001- 2003. He also chaired, co-chaired, and served on many program committees for various conferences for IEEE Photonics Society, OSA, and SPIE.
Abstract:
Silicon photonics has a potential as a more efficient and lower cost on-chip solution for big data demanding information society. It benefits from the combination of the mature microelectronics technology and the bandwidth rich optical communication. The interest in this particular technology has been expanded from North America, to Europe, and to Asia. The applications of this promising technology have been spread from microelectronics, to computing systems, and to communication systems. This talk will present the motivations and challenges, review the progresses in research and development, and discuss the potential applications of the silicon photonics, in hoping the microelectronics and photonics communities will join hands even tighter to make this solution a reality faster.
Recent progress in photodetectors based on silicon-on-insulator
Hiroshi Inokawa, Hiroaki Satoh, Atsushi Ono, and Dedy Septono Catur Putranto
Research Institute of Electronics, Shizuoka University 3-5-1 Johoku Hamamatsu 432-8011, Japan
Email: inokawa06@rie.shizuoka.ac.jp
Biography:
Hiroshi Inokawa received the Ph.D. degree in electrical engineering from Kyoto University, Kyoto, Japan, in 1985. In the same year, he joined the Atsugi Electrical Communications Laboratories, Nippon Telegraph and Telephone Corporation (NTT), Kanagawa, Japan. Since then, he has been engaged in research and development of scaled-down CMOS devices and silicon single-electron devices. In 2006, he became a professor of the Research Institute of Electronics, Shizuoka University, Hamamatsu, Japan, where he has been studying nanodevices for advanced circuits and systems.
Prof. Inokawa is a member of the Institute of Electrical and Electronics Engineers, the Japan Society of Applied Physics, the Institute of Electronics, Information and Communication Engineers of Japan, and the Institute of Electrical Engineers of Japan.
Abstract:
Silicon-on-insulator (SOI) is a unique material consisting of single-crystal silicon (Si) layer, buried Si dioxide (BOX) and supporting Si substrate. It is widely used in the high-performance microprocessor for enterprise work stations and gaming machines, and moreover the ultrathin SOI is regarded as a viable solution for integrated circuits in 22-nm generation or later because of the excellent short-channel characteristics.
Although the SOI is not popular for photodetectors due to the small light absorption by the thin Si layer, it actually provides distinctive features to them based on optical confine¬ment, carrier confinement and thermal isolation, resulting in enhanced light absorption, sensitive detection of photo-generated carriers and sensitivity in wider wavelength range as a bolometer, respectively.
Specifically, the waveguiding modes in the Si layer sandwiched by Si dioxide can be induced by the diffracted light from the grating-type surface plasmon (SP) antenna on top to give an enhanced light sensitivity, wavelength and polarization selectivities, and ability to measure refractive index. The last feature makes use of the difference in the peak wavelengths corresponding to the forward and backward waves in the SOI waveguide induced by the oblique incident light, and might be useful in fluorescence-label-free biosensing. The carrier confinement in the SOI body enables one-by-one detection of the photo-generated carriers in the scaled-down MOSFET, leading to the single-photon detection with low dark counts (~0.01 s-1) at room temperature, low operation voltage (~1 V) and photon number resolution.
Cavity formation below the BOX provides thermal isolation, and turns the MOSFET in SOI to sensitive thermometer for bolometer. Thanks to the amplification function of the MOSFET, effective temperature coefficient of resistivity (TCR) comparable to those of vanadium oxide and amorphous Si can be obtained by the proposed SOI device that can be made of the standard Si integrated circuit materials.
In this report, such new features of photodetectors attained by SOI will be introduced.

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