Stereoscopic spherical panoramas

[EN] The advances in the field of digital imaging have expanded the horizons of panoramic photography, thanks to the development of stitching software, with which several images can be joined in a wide field of view panoramic image. The panoramas produced by stitching software can reach a field of view of 360 degrees horizontally and 180 degrees vertically, in case of a spherical panorama. This kind of panorama has a great potential representing the architecture, so it could be interesting to add a new dimension applying the stereoscopic vision foundations. Therefore, the article focusses these issues in order to provide an affordable photographic technique to capture spherical panoramas analyzing also their compatibility with the latest immersive display systems[ES] Los avances en el campo de la imagen digital nos han permitido ampliar los horizontes de la fotografía panorámica, gracias a la aparición de software de stitching o cosido de imágenes, con los que se pueden unir varias fotografías para formar una imagen panorámica de amplio campo visual. Las imágenes producidas mediante el software de stitching pueden llegar a abarcar un campo visual de 360º en horizontal y 180º en vertical, formando un panorama esférico. Este tipo de panorama tiene una gran potencial para la representación arquitectónica, por lo que resultaría interesante añadir una nueva dimensión aplicando los fundamentos de la visión estereoscópica. Por ello, en el artículo se estudia esta problemática con el fin de aportar una metodología asequible de captura fotográfica de panoramas esféricos estereoscópicos, además de analizar su compatibilidad con los últimos sistemas de visualización inmersivaCabezos-Bernal, PM.; Cisneros Vivó, J. (2016). Panoramas esféricos estereoscópicos. EGA. Revista de Expresión Gráfica Arquitectónica. 21(28):70-81. doi:10.4995/ega.2016.6264.SWORD7081212

3D panoramic imaging for virtual environment construction

The project is concerned with the development of algorithms for the creation of photo-realistic 3D virtual environments, overcoming problems in mosaicing, colour and lighting changes, correspondence search speed and correspondence errors due to lack of surface texture. A number of related new algorithms have been investigated for image stitching, content based colour correction and efficient 3D surface reconstruction. All of the investigations were undertaken by using multiple views from normal digital cameras, web cameras and a ”one-shot” panoramic system. In the process of 3D reconstruction a new interest points based mosaicing method, a new interest points based colour correction method, a new hybrid feature and area based correspondence constraint and a new structured light based 3D reconstruction method have been investigated. The major contributions and results can be summarised as follows: • A new interest point based image stitching method has been proposed and investigated. The robustness of interest points has been tested and evaluated. Interest points have been proved robust to changes in lighting, viewpoint, rotation and scale. • A new interest point based method for colour correction has been proposed and investigated. The results of linear and linear plus affine colour transforms have proved more accurate than traditional diagonal transforms in accurately matching colours in panoramic images. • A new structured light based method for correspondence point based 3D reconstruction has been proposed and investigated. The method has been proved to increase the accuracy of the correspondence search for areas with low texture. Correspondence speed has also been increased with a new hybrid feature and area based correspondence search constraint. • Based on the investigation, a software framework has been developed for image based 3D virtual environment construction. The GUI includes abilities for importing images, colour correction, mosaicing, 3D surface reconstruction, texture recovery and visualisation. • 11 research papers have been published.EThOS - Electronic Theses Online ServiceGBUnited Kingdo

Omnidirectional Stereo Vision for Autonomous Vehicles

Environment perception with cameras is an important requirement for many applications for autonomous vehicles and robots. This work presents a stereoscopic omnidirectional camera system for autonomous vehicles which resolves the problem of a limited field of view and provides a 360° panoramic view of the environment. We present a new projection model for these cameras and show that the camera setup overcomes major drawbacks of traditional perspective cameras in many applications