3D Image Acquisition and Display: Technology, Perception and Applications (3D)
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3D Image Acquisition and Display: Technology, Perception and Applications (3D)
3D Image Acquisition and Display: Technology, Perception and Applications (3D) provides a forum for science, technology, applications of 3D image collection, information processing, visualization and display technologies.
This highly interdisciplinary meeting is related to science, technology and applications that covers research areas related to the acquisition, processing, display and applications of 3D information as well as the perception, human factors and visual comfort of 3D information displays.
Presented work will include research related to scientific understanding of 3D information display and perception, technological innovation on 3D image acquisition or display methods and task-specific design and applications of 3D acquisition or display technology is of particular interest. Presenters are encouraged to share their application experiences relating to, but are not limited to, virtual reality, augmented reality, biomedicine, microscopy, endoscopy, healthcare, 3D sensing, 3D information processing, autonomous vehicle, wearable displays and entertainment.
If you are looking to submit your papers for consideration by the 3D committee, please consider submitting to the following referenced topics in the full list of topic categories and identify 3D as your topical of choice:
1. New technologies and phenomena in sensing, image capture and displays
1.1. Emerging optical materials and components for 3D imaging and sensing
1.4. Mid-infrared sensing and imaging
1.6. Structured illumination
2. System architecture and co-design for sensing, imaging and displays
2.4. 3D display systems, including both hardware and software
2.5. Virtual reality and augmented reality systems
2.6. Computational imaging and display systems
3. Image and signal processing and computational techniques
3.1. Image processing for acquisition and display systems
3.2. Deep learning and artificial intelligence for image acquisition and display systems
3.3. Event-based systems
3.8. Imaging through scattering media
4. Human and machine vision and perception
4.1. Metrics, characterization and models for visual comfort in displays
4.2. Human factors for AR/VR display
7. Biomedical applications
7.2. Imaging technologies for health care
Chairs
Ana Doblas
University of Massachusetts Dartmouth, United States,
General Chair
Yuzuru Takashima
Univ of Arizona, Coll of Opt Sciences, United States,
General Chair
Julie Buquet
Immervision Inc., Canada,
Program Chair
Artur Carnicer
Universitat de Barcelona, Spain,
Program Chair
Committee Members
- Ana Doblas, University of Massachusetts Dartmouth, United States, General Chair
- Yuzuru Takashima, Univ of Arizona, Coll of Opt Sciences, United States, General Chair
- Julie Buquet, Immervision Inc., Canada, Program Chair
- Artur Carnicer, Universitat de Barcelona, Spain, Program Chair
- Julia Alonso, Universidad de la Republica, Uruguay
- Georgiou Andreas, Reality Optics, United Kingdom
- Pierre-Alexandre Blanche, Amazon, United States
- Liangcai Cao, Tsinghua University, China
- Shwetadwip Chowdhury, University of Texas at Austin, United States
- Xiangyu Guo, Arizona State University, United States
- Bahram Javidi, University of Connecticut, United States
- Osamu Matoba, Kobe University, Japan
- Inkyu Moon, DGIST, Republic Of Korea
- Rakesh Singh, Indian Inst of Technology (BHU) Varanasi, India
- Adrian Stern, Ben-Gurion University of the Negev, Israel
- Simon Thibault, Université Laval, Canada
