Use of JView in 3D Digital Color Image Reconstruction and Visualization Available to Purchase

The paper describes a comprehensive approach to first reconstruct and then visualize three-dimensional image models created from a pair of two-dimensional digital color images. The method integrates an interactive output data manipulation capability of JView, a Java based API (Application Programming Interface) engineered by US Air Force (AFRL/IFSB) with newly developed more accurate procedure of recreating texture mapped 3D-models using a stereo triangulation technique. Though several procedures have been proposed in literature on how to generate 3D models from 2D stereo pairs by recovering the image depth, they are limited in predicting an accurate pixel matching between image correspondences. Furthermore, the majority of papers lack depicting the reconstructed 3D-image geometry to show how well their adopted techniques have been able to recover the scene depth at every pixel. We have employed a region-based block matching methodology for color image analysis. The reconstructed 3D image models can be viewed and maneuvered on a computer screen by moving up and down, rotating around, and zooming in and out with the help of mouse buttons. This interactive viewing capability is an aid to the visualization process and facilitates algorithm designers to test step-by-step their codes and make appropriate judgments as to the accuracy of the underlining reconstruction techniques (sort of a visual debugger). Example presented shows detailed disparity map and reconstructed geometries.