Performance Evaluation of Bundle Adjustment with Population Based Optimization Algorithms Applied to Panoramic Image Stitching

Panoramic Image Stitching

Faculty of Computer Science by Kai Wang Pengbo Li Panoramic image stitching is an active research topic and lots of methods was developed to achieve a nice stitched panorama under different limitation of raw pictures. For example, pictures need to be aligned properly, pictures need to has same exposure level, or pictures need to be horizontal or vertical in space. In this project, we followed t...

Automatic Panoramic Image Stitching

Panoramic Image Stitching

This thesis investigates the panoramic image stitching problem in computer vision area. The panoramic image stitching algorithms are divided into image alignment and image stitching approaches. The former can find the correspondence relationships among images with certain degrees of overlap, while the latter takes the correspondence relationships estimated by the registration algorithm and uses...

Automatic Panoramic Image Stitching Using Invariant Features

Supplementing Bundle Adjustment with Evolutionary Algorithms

Bundle Adjustment is a common technique to improve results of any multiple view reconstruction algorithm to obtain 3D structure for computer vision and computer graphics. If the error of a reconstruction can be expressed by an error function, this function can be minimized by numerical methods such as the Levenberg-Marquardt algorithm. By this means, the reconstruction can often be significantl...