Connectionists: Final Call for papers - IEEE BIOROB 2016 Special Session on Neuromorphic Visual Processing

[Garrick Orchard]

**Apologies for cross posting.**
**Please forward this call for papers to anyone else who might be
interested.**

This is our final reminder. The deadline for submission is this coming
Friday and will not be extended further.

We invite submissions to the special session "*Neuromorphic Visual
Processing*" at IEEE BioRob 2016 Singapore. Accepted papers will be
presented at the conference and included in the IEEE BioRob conference
proceedings.

6th IEEE RAS & EMBS's International Conference on Biomedical Robotics and
Biomechatronics
June 26-29, 2016 in Singapore
http://www.ieeebiorob2016.org/

*Paper Submission Deadline: March 4, 2016 (final extension)*
Papers can be submitted through the link below. For the special session on
Neuromorphic Visual Processing, please use special session code *9fkm1* during
the submission process.
http://www.sinapseinstitute.org/biorob2016/submit.php


*9fkm1 - IEEE BioRob 2016 special session on Neuromorphic Visual Processing*

Neuromorphic visual processing involves processing data received from
bio-inspired event-based silicon retinae such as the Dynamic Vision Sensor
and the Asynchronous Time-based Image Sensor. The event-based data received
from these sensors differs significantly from traditional frame-based
computer vision data (https://youtu.be/up_US4EoD0M) and the question of how
best to process this event-based data remains open. The field has received
a lot of attention lately with the rise of FPGAs as a tool for prototyping,
as well as the development of new spike-based processing architectures
including the Integrate and Fire Array Transceiver (IFAT), SpiNNaker,
Neurogrid, and TrueNorth. While some focus their efforts on spike-based
processing, others have focused on using more conventional CPU and
microcontroller architectures for processing. Much like the processing
architectures vary widely, so do the visual tasks tackled, covering areas
including tracking, segmentation, recognition, motion estimation, depth
estimation, and Simultaneous Localization and Mapping.

*Scope*

This special session provides a platform for presentation and discussion of
new works in event-based visual processing, regardless of which event-based
vision sensor, processing platform, or visual task has been tackled.
This special sessions aims to help members of the field better understand
the trade-offs involved in the wide range of current approaches to
event-based visual processing to help attendees identify the most promising
approach(es) for their specific application(s).

*Topics*

   - theory and problem formulation for event-based visual processing
   - software frameworks for event-based visual processing
   - real-time embedded implementations
   - size, weight, and power (SWAP) optimization
   - precision vs computational complexity trade-off
   - spiking neural networks for processing
   - algorithms for event-based visual processing


Where algorithms include but are not limited to:

*Algorithms*

   - feature extraction
   - tracking
   - object recognition
   - motion estimation
   - grayscale estimation
   - pose estimation
   - depth estimation
   - simultaneous localization and mapping
   - texture recognition
   - segmentation


Best,
Garrick Orchard
http://www.garrickorchard.com/
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