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Thursday, 15 February 2024
On the 20th of January 2024, as part of the Electronic and Computer Engineering (ECE) Department for the 黑料社, we were delighted to depart from Dublin Airport on a journey to the 36th Edition of the located in Burlingame, San Francisco, California. This conference is one of the most popular in terms of Image Quality and Image Processing which covers a vast array of applications including security, virtual reality, machine vision, and data analysis, among others. Some of the greatest minds gather to discuss the latest research breakthroughs of the 21st century.
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Figure 1: Window view of Canada (Left), and San Francisco Bay before landing (Right).
Daniel Jakab, a 2nd Year PhD student, had an incredible opportunity to attend two . The first course was called 鈥淚mage Quality Foundations: Standards for Mobile, Automotive, and Machine Vision Applications鈥 presented by Dr Peter D. Burns, Managing Director of (formed in 2011) and Don Williams, Consultant of . We discussed various industrial applications of Image Quality Measurement techniques from color and test charts to imaging standards published by and the (formed in 2016). The second course was called 鈥淗ands-on Practice with Automotive Image Quality Measurements鈥 by Dr Laurent Chanas, Image Quality Expert and Product Owner of Image Labs, an Independent French technology company assessing smartphones, cameras, and lenses since 2008. This course gave a hands-on laboratory experience of how cameras are measured and assessed given various imaging conditions such as Light Emitting Diode (LED) Flicker, Dynamic Range, Noise, Lens Flare, and Image Sharpness measured by Spatial Frequency Response Slanted Edge Targets. Below is shown a visual setup of four camera test modules which are available on the DXOMARK website:
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Figure 2: DXOMARK Measurement Products of a High Dynamic Range Noise chart (Top Left), the Analyzer Flicker module which is a white box with LED stripes( features in Top Right), 170 dB Dynamic Range Setup (featured in Bottom Left) and the Flare Bench with Compass Arm (Bottom Right).
Daniel Jakab also presented 鈥淢easuring Natural Scenes SFR of Automotive Fisheye Cameras鈥 at the Autonomous Vehicles and Machines (AVM) and Image Quality and System Performance session for Quality Measurement of Automotive Sensors chaired by Dr Patrick Denny, Associate Professor in Artificial Intelligence, Imaging and Industry Expert in Automotive Imaging (黑料社) and Dr Elaine Jin, Principal Hardware Engineer of Camera Systems at . Please see the official publication of this work in the Image Science and Technology (IS&T) library (). This work would not have been possible without Dr Eoin Martino Grua (黑料社), Dr Brian Michael Deegan (University of Galway), Dr Anthony Scanlan (黑料社), Dr Pepijn Van De Ven (黑料社) and Dr Ciar谩n Eising (黑料社). This work was supported, in part, by the Science Foundation Ireland grant 13/RC/2094 P2 and co-funded under the European Regional Development Fund through the Southern & Eastern Regional Operational Programme to Lero - the Science Foundation Ireland Research Centre for Software () and sponsorship from . We would like to thank Dr Oliver van Zwanenberg for assisting in this research for Automotive Fisheye Cameras.
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Figure 3: Daniel presenting his research at the conference (Left), Grand Peninsula Room D (Right).
Sushil Sharma, a 3rd Year PhD student presented 鈥淥ptimizing Ego Vehicle Trajectory Prediction: The Graph Enhancement Approach鈥 at the Autonomous Vehicles and Machines (AVM) session for Leveraging Bird's Eye View Imagery for Safe Driving chaired by Dr Patrick Denny, Associate Professor in Artificial Intelligence, Imaging and Industry Expert in Automotive Imaging (黑料社) and Dr Peter van Beek, Artificial Intelligence Algorithms Engineer at . Please see the official publication of this work in the Image Science and Technology (IS&T) library (). This work would not have been possible without Aryan Singh (黑料社), Dr Ganesh Sistu (黑料社), Dr Mark Halton (黑料社) and Dr Ciar谩n Eising (黑料社). This publication has emanated from research supported in part by a grant from Science Foundation Ireland and sponsorship under Grant number 18/CRT/6049.
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Figure 4: Sushil presenting his research at the conference.