Rachel Brown

Rachel Brown is a Research Scientist in the NVIDIA Human Perception and Performance group based in Portland, Oregon. Her interests center around how humans perceive and respond to stimuli in computer graphics applications, particularly areas of peripheral, color, and stereoscopic vision. Her graduate work was completed at UC Berkeley in 2018 with a PhD in Vision Science and an MS in Computer Science, and she completed her undergraduate studies at The College of William & Mary, with BS degrees in Biology & Psychology, in 2011.
Rachel Brown

Posts by Rachel Brown

Computer Vision / Video Analytics

Predicting How Images Influence Visual Reaction Speed

Imagine driving along a road and an obstacle suddenly appears in your path. How quickly can you react to it? How does your reaction speed change with the time... 5 MIN READ