"Visual Odometry for Pixel Processor Arrays [PDF]", Laurie Bose, Jianing Chen, Stephen J. Carey, Piotr Dudek and Walterio Mayol-Cuevas. International Conference on Computer Vision (ICCV), Venice, Italy, 2017.
ICCV2017 Spotlight Talk
We present an approach of estimating constrained egomotion on a Pixel Processor Array (PPA). These devices embed processing and data storage capability into the pixels of the image sensor, allowing for fast and low power parallel computation directly on the image plane. Rather than the standard visual pipeline whereby whole images are transferred to an external general processing unit, our approach performs all computation upon the PPA itself, with the camera’s estimated motion as the only information output. Our approach estimates 3D rotation and a 1D scale less estimate of translation. We introduce methods of image scaling, rotation and alignment which are performed solely upon the PPA itself and form the basis for conducting motion estimation. We demonstrate the algorithms on a SCAMP-5 vision chip, achieving frame rates higher than 1000Hz and at about 2W power consumption. project website www.project-agile.org
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