Computer Vision News - June 2022

25 Ewa Nowara was to put things into practice. It seems these two things matter the most to you. Is that right? That’s right.  You added a third thing. That it was challenging. Is the challenge also important to you? It’s definitely important. I’ve always been very inclined to work on things that are exciting but challenging. We don’t know if they are possible or not because it’s a very difficult problem. It hasn’t been done before, but we have some basis to believe that itmight be possible. That has been very image was taken and be as specific as what country, what city, or even what street the image was taken. Prior to that, I worked in a different area of computer vision for my PhD at Rice with Professor Ashok Veeraraghavan, where I worked on camera-based physiology. Given a video recording of someone’s face, my interest was to extract very subtle color intensity variations in the skin related to their blood flow, from which we can measure heart rate, breathing rate, and other vital signs in clinical parameters. It’s essentially how a smart watch works, like a Fitbit or an Apple Watch. They have this green light that illuminates the skin. Some light penetrates the skin. Some light returns to the sensor. The light that has interacted with the blood willhavethispulsatiletemporal component. It’s a very tiny change in the intensity of the skin, but from that we can measure the pulsatile signal, from which we can extract heart rate and other parameters. I was working on doing it from a video recording without touching the skin, which is very challenging: lots of noise, motion, illumination variations. I have spent several years doing that and that has been the main focus of my research. I am sure that we could find continuity between the different things that you just told me. One was innovation. The second Yes, that was my dream job!