Ma-Soatto-Kosecka-Sastry: An Invitation to 3D Vision. Laboratory exercises

RECONSTRUCTION FROM TWO CALIBRATED VIEWS

This laboratory exercise will guide you through exploring the reconstruction of a scene from two calibrated views, as described in Chapter 5 of "An Introduction to 3D Vision", by Y. Ma, S. Soatto, J. Kosecka and S. Sastry (MASKS).

The goal of this session is to experiment with the basic eight-point algorithm. Therefore, we will assume that we are given the location of a number of point features on two images in metric coordinates. The reader can generate additional examples on different sets of images by establishing correspondence either by hand, using the function click_image.m , or using the feature detection and tracking algorithms studied in the previous laboratory exercise.

Download the g-zipped tar file that contains all the necessary files and data.
Run the program test , to see the results of the reconstruction.
Open the file TwoViewDemo.m and modify the code to see the effects of various parameters on the reconstruction

See also dfundamental.m , to recover an uncalibrated reconstruction of the scene.

An Invitation to 3D Vision
Y. Ma, S. Soatto, J. Kosecka, S. Sastry

THE CODE ON THIS PAGE IS DISTRIBUTED FREE FOR NON-COMMERCIAL USE.
Copyright (c) MASKS, 2003.

An Invitation to 3D Vision, Ma, Soatto, Kosecka, Sastry.