In their latest work, to be presented at the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, June 17-22 in New York City, the Carnegie Mellon researchers will show that having a sense of 3-D geometry helps computers identify objects, such as cars and pedestrians, in street scenes.