thermal - AI with Catherine Ordun

thermal

Advantages of Thermal Images over Visible Images for Facial Analysis

Below is an excerpt from our paper Ordun, Catherine, Edward Raff, and Sanjay Purushotham. "The Use of AI for Thermal Emotion Recognition: A Review of Problems and Limitations in Standard Design and Data [https://arxiv.org/pdf/2009.10589.pdf]." arXiv preprint arXiv:2009.10589 (2020) for AAAI

face detection

Haarcascades to filter out non-Frontally Aligned Faces

I'm sure many of you have used OpenCV for a variety of work. Most of the time, in the case of face detection, we want to know if the classifier has a detected a face. Here, I actually want to know the reverse - where has it NOT

pil

Simple PIL Image Cropping

This is a 60 second read, if that. Detecting emotions from thermal imagery is an active area of research in Artificial Intelligence (AI), specifically in the field of Facial Emotion Recognition (FER). FER uses thermal imagery, such as long-wave infrared (LWIR), as an image modality that can provide information unseen