Monday 29 January, 2018. 12:53
I am sitting in the Juban Yakiniku House in Burlingame, having lunch during the conference lunch break. I had another terrible sleep, lying awake much of the night, and did not feel like getting up when the alarm went off at 07:00. But I bounded out of bed and checked the BART timetable as I gulped down a mixture of Special K and bran cereal for breakfast. Trains left for Millbrae at 07:21 and 07:36. I hurried so I could make the first one, and raced out to leave M. alone for her first day of solitary sightseeing. I just made the train by a minute and settled in for the ride to Millbrae.
The train was largely empty at this time, which was good, as I had a double seat to myself. I went through the printout of my talk to help cement in in my brain, although I’m not giving it until tomorrow. Once at Millbrae, I set out for the walk to the Hyatt Regency Hotel where the conference is on. Checking the time at both ends, it came in at 28 minutes of walking. The morning was grey, but not especially cold, and I removed my gloves part way along as I warmed up from the exercise.
I arrived at the hotel at 08:20, leaving plenty of time to register and collect my conference badge before the first talk I planned to attend at 08:50. Even before entering, I saw Nicolas outside, dealing with his transport. Then inside I ran into Kristyn, who apologised for not answering my email, saying she was halfway through replying. Her reply arrived a few minutes into the first conference session, saying she was keen to meet up with M. again, but had commitments with her in-laws while here in the Bay Area.
The first talk session was a joint session between Automotive Imaging and Image Quality & Systems Performance, chaired by Stuart. And the very first talk was given by Robin Jenkin, who I met briefly outside before he dashed off saying he needed to get ready to present. He spoke about the task of measuring image quality of automotive cameras, and how it was very different from measuring the image quality of normal photographic cameras, mainly because photography quality standards all factor in the influence of the human visual system, which is absent in an automotive context. Also the colour filter arrays of car cameras tend to be very different from the RGB Bayer filter for human-oriented photography, typically car cameras use red-white-white-white, or red-white-white-blue. The output of a car camera goes into a neural network designed to produce a decision on what the car should do, not to produce an image for humans to look at, so completely different criteria need to be used to judge the quality of the camera.
Read more: more conference stuff, yakiniku lunch, Mexican dinner