|Title||Fast 3D Scene Alignment with Stereo Images using a Stixel-based 3D Model|
|Publication Type||Conference Paper|
|Year of Publication||2018|
|Authors||van de Wouw, DWJM, Sanberg, WP, Dubbelman, G, de With, PHN|
|Conference Name||Int. Conf. on Computer Vision Theory and Applications (VISAPP)|
|Conference Location||Funchal, Portugal|
Scene alignment for images recorded from different viewpoints is a challenging task, especially considering strong parallax effects. This work proposes a diorama-box model for a 2.5D hierarchical alignment approach, which is specifically designed for image registration from a moving vehicle using a stereo camera. For this purpose, the Stixel World algorithm is used to partition the scene into super-pixels, which are transformed to 3D. This model is further refined by assigning a slanting orientation to each stixel and by interpolating between stixels, to prevent gaps in the 3D model. The resulting alignment shows promising results, where under normal viewing conditions, more than 96% of all annotated points are registered with an alignment error up to 5 pixels at a resolution of 1920 × 1440 pixels, executing at near-real time performance (4 fps) for the intended application.
Fast 3D Scene Alignment with Stereo Images using a Stixel-based 3D Model