In computer vision research, image segmentation technology involves separating digital images into meaningful parts. Through this process, images are easier to analyze.

Vision is a powerful human sensory input. It enables complex tasks and processes we take for granted. With an increase in AoT™ (Autonomy of Things) in diverse applications the role of cameras ...

Mattyus, Gellert und Wang, Shenlong und Fidler, Sanja und Urtasun, Raquel (2016) HD Maps: Fine-grained Road Segmentation by Parsing Ground and Aerial Images. In: Proceedings of Computer Vision and ...

Training machine learning models often means working with labeled data. For computer vision tasks, this might look, for instance, like an hour of camera footage from a car, meticulously sectioned by ...

Computer vision isn’t something that is widely talked about in most business circles—yet. The technology continues to emerge, and while most people likely don’t realize how often they use it ...

Computer Vision (CV) has evolved rapidly in recent years and now permeates many areas of our daily life. To the average person, it might seem like a new and exciting innovation, but this isn’t ...

Catalog : COMP.4230 Computer Vision I (Formerly 91.423 & 91.523) Catalog : COMP.4230 Computer Vision I (Formerly 91.423 & 91.523) Home Academic Catalog. ... including the principles of image formation ...

A team of researchers at MIT CSAIL, in collaboration with Cornell University and Microsoft, have developed STEGO, an algorithm able to identify images down to the individual pixel.