Understanding 3-d world by Kalman filter

Abstract EN

Human beings can form perceptions about their 3-D world through many years of their experience.

Building perception for machines to recognize their 3-D world by visual information is difficult, as the images obtained by cameras can only represent 2-D information.

This work demonstrates approach for understanding the 3-D world from 2-D images of a scene by Kalman filtering.

The work ends with reconstructing the 3-D world from multiple 2-D images by using Kalman filtering.