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Bibliographic Details
Main Authors: Murai, Riku, Saeedi, Sajad, Kelly, Paul H. J.
Format: Preprint
Published: 2020
Subjects:
Online Access:https://arxiv.org/abs/2004.11186
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author Murai, Riku
Saeedi, Sajad
Kelly, Paul H. J.
author_facet Murai, Riku
Saeedi, Sajad
Kelly, Paul H. J.
contents Focal-plane Sensor-processor (FPSP) is a next-generation camera technology which enables every pixel on the sensor chip to perform computation in parallel, on the focal plane where the light intensity is captured. SCAMP-5 is a general-purpose FPSP used in this work and it carries out computations in the analog domain before analog to digital conversion. By extracting features from the image on the focal plane, data which is digitized and transferred is reduced. As a consequence, SCAMP-5 offers a high frame rate while maintaining low energy consumption. Here, we present BIT-VO, which is, to the best of our knowledge, the first 6 Degrees of Freedom visual odometry algorithm which utilises the FPSP. Our entire system operates at 300 FPS in a natural scene, using binary edges and corner features detected by the SCAMP-5.
format Preprint
id arxiv_https___arxiv_org_abs_2004_11186
institution arXiv
publishDate 2020
record_format arxiv
spellingShingle BIT-VO: Visual Odometry at 300 FPS using Binary Features from the Focal Plane
Murai, Riku
Saeedi, Sajad
Kelly, Paul H. J.
Computer Vision and Pattern Recognition
Focal-plane Sensor-processor (FPSP) is a next-generation camera technology which enables every pixel on the sensor chip to perform computation in parallel, on the focal plane where the light intensity is captured. SCAMP-5 is a general-purpose FPSP used in this work and it carries out computations in the analog domain before analog to digital conversion. By extracting features from the image on the focal plane, data which is digitized and transferred is reduced. As a consequence, SCAMP-5 offers a high frame rate while maintaining low energy consumption. Here, we present BIT-VO, which is, to the best of our knowledge, the first 6 Degrees of Freedom visual odometry algorithm which utilises the FPSP. Our entire system operates at 300 FPS in a natural scene, using binary edges and corner features detected by the SCAMP-5.
title BIT-VO: Visual Odometry at 300 FPS using Binary Features from the Focal Plane
topic Computer Vision and Pattern Recognition
url https://arxiv.org/abs/2004.11186