3D Reconstruction of Surfaces with Steep Slopes from Multiple SEM Images

3D Reconstruction of Reflective Spherical Surfaces from Multiple Images

Despite the recent advances in 3D reconstruction from images, the state of the art methods fail to accurately reconstruct objects with reflective materials. The underlying reason for this inaccuracy is that the detected image features belong to the reflected scene instead of the reconstructed object and do not lie on the surface of the object. In this study, we propose a method to refine the 3D...

3D Reconstruction from Multiple Images

There is an increasing need for geometric 3D models in the movie industry, the games industry, mapping (Street View) and others. Generating these models from a sequence of images is much cheaper than previous techniques (e.g. 3D scanners). These techniques have also been able to take advantage of the developments in digital cameras and the increasing resolution and quality of images they produc...

3D Reconstruction from Multiple Images Acquired using a Scanning Electron Microscope (SEM) (2001-)

The goal of this work is to develop the methodology for obtaining accurate, threedimensional measurements of object deformation using a scanning electron microscope. Calibration methods are being developed for the SEM that include novel distortion correction approaches. The 3D reconstruction of the specimen surface is computed using multiple views acquired through motion of the SEM specimen’s s...

Surface Reconstruction From AFM and SEM Images

Practice of 3D Reconstruction from Multiple Uncalibrated Unorganized Images

The paper presents a system for 3D reconstruction from multiple uncalibrated unorganized images. A number of alternative reconstruction techniques can be combined together by the means of a simple language. A complete reconstruction procedure is defined by a program in this language. Such an approach allows to choose a suitable reconstruction method for the situation at hand and thus obtain use...