DocumentCode
1624590
Title
Estimation of the orientation and distance of a mirror from Kinect depth data
Author
Mallick, Tanwi ; Das, Partha Pratim ; Majumdar, A.K.
Author_Institution
Dept. of Comput. Sci. & Eng., Indian Inst. of Technol., Kharagpur, Kharagpur, India
fYear
2013
Firstpage
1
Lastpage
4
Abstract
In many common applications of Microsoft Kinect™ including navigation, surveillance, 3D reconstruction, and the like; it is required to estimate the geometry of mirrors or other reflecting surfaces existing in the field of view. This often is difficult as in most positions a mirror does not support diffuse reflection of speckles and hence cannot be seen in the Kinect depth map. A mirror shows up as unknown depth. However, suitably placed objects reflecting in the mirror can provide important clues for the orientation and distance of the mirror. In this paper we present a method using a ball and its mirror image to set-up point-to-point correspondence between object and image points to solve for the geometry of the mirror. With this simple estimators are designed for the orientation and distance of a plane vertical mirror with respect to the Kinect camera. In addition an estimator is presented for the diameter of the ball. The estimators are validated through a set of experiments.
Keywords
computational geometry; mirrors; Kinect depth data; Microsoft Kinect; mirror distance estimation; mirror orientation estimation; mirrors geometry; point-to-point correspondence; speckles; Cameras; Estimation; Geometry; Mirrors; Noise; Spatial resolution; Three-dimensional displays; Depth Data; Distance Estimation; Kinect; Mirror; Orientation Estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), 2013 Fourth National Conference on
Conference_Location
Jodhpur
Print_ISBN
978-1-4799-1586-6
Type
conf
DOI
10.1109/NCVPRIPG.2013.6776248
Filename
6776248
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