DocumentCode
2041228
Title
Improved Image Segmentation using Photonic Mixer Devices
Author
Wallhoff, Frank ; Russ, Martin ; Rigoll, Gerhard ; Göbel, Johann ; Diehl, Hermann
Author_Institution
Tech. Univ. Munchen, Munich
Volume
6
fYear
2007
fDate
Sept. 16 2007-Oct. 19 2007
Abstract
Aiming at improving image segmentation and extending regular computer vision algorithms an image sensor, acquiring additional depth information is deployed. The novel photonic mixer device (PMD) technology was summarized, by which it becomes possible to measure the observed object´s distance to the camera. Motivated by expanding and making existing image processing and segmentation algorithms more robust, the additional depth information is overlapped with the image map gained by a regular camera system. Due to the fact of the used cameras are displaced and have different image resolutions, a sophisticated calibration algorithm was introduced. By applying improved algorithms to applications, such as people counting, gesture recognition, and barrier detection its effectiveness was shown.
Keywords
calibration; distance measurement; gesture recognition; image resolution; image segmentation; image sensors; signal processing equipment; three-dimensional displays; barrier detection; camera; computer vision algorithms; gesture recognition; image processing; image resolutions; image segmentation; image sensor; object distance measurement; people counting; photonic mixer device technology; photonic mixer devices; sophisticated calibration algorithm; Calibration; Cameras; Computer vision; Image processing; Image resolution; Image segmentation; Image sensors; Optical surface waves; Optoelectronic and photonic sensors; Signal processing algorithms; 3D Surveillance; Barrier Detection; Computer Vision; Gesture Recognition; People Counting; Photonic Mixer Device; Segmentation;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2007. ICIP 2007. IEEE International Conference on
Conference_Location
San Antonio, TX
ISSN
1522-4880
Print_ISBN
978-1-4244-1437-6
Electronic_ISBN
1522-4880
Type
conf
DOI
10.1109/ICIP.2007.4379519
Filename
4379519
Link To Document