Super Resolution for Active Light Sensor Enhancement

This thesis provides a new approach for enhancing disparity detection of
color-depth-sensors (RGB-D-sensors). The infrared images captured by an
RGB-D-sensor are evaluated to detect subtle dierences in the light path
of the sensor's laser projection and these dierences are exported as oset
vectors.
An algorithm is introduced, implemented, and tested, that is able to
detect and quantify the light path's dierences. Furthermore, an approach
to obtain a reference brightness distribution of an average spot of the RGBD-
sensor's projector is presented. The reference brightness distribution is
used to identify spot positions with sub-pixel accuracy in infrared images
captured with the RGB-D-sensor.
The system is employed to detect refractive media, being introduced
to the captured scene. It is shown that the presence of refractive media
introduced to a scene can be detected.
Author(s): | Yannic Schröder |
---|---|
Published: | March 2012 |
Type: | Misc |
Howpublished: | Bachelor thesis |
Project(s): | Multiple Kinect Studies Reality CG |
@misc{baschroeder, title = {Super Resolution for Active Light Sensor Enhancement}, author = {Schr{\"o}der, Yannic}, howpublished = {Bachelor thesis}, month = {Mar}, year = {2012} }
Authors
Yannic Schröder
Fmr. Student