( en | de | ru )

 

Disambiguation of "Seitz, Peter"

Author of the publication

copydeleteadd this publication to your clipboard
A Universal Method for Hierarchical Object Recognition based on Low-Power Vision Sensors.

, , , , and . ISCAS, page 1209. IEEE, (2007)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Peter Seitz

Peter Seitz

Peter Seitz

Peter Seitz

Peter Seitz

 

Other publications of authors with the same name

A sub-electron readout noise CMOS image sensor with pixel-level open-loop voltage amplification., , and . ISSCC, page 402-404. IEEE, (2011)Real-time 2D feature detection with low-level image processing algorithms on smart CCD/CMOS image sensors., , , , and . ICIP (2), page 1043-1046. IEEE Computer Society, (1996)Modeling collaboration using shared objects., , and . GROUP, page 189-198. ACM, (1999)Nanophotonics for Lab-on-Chip Applications.. NanoNet, volume 20 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 151-160. Springer, (2009)High-speed and high-sensitive demodulation pixel for 3D imaging., , , , , , , , , and 4 other author(s). Three-Dimensional Image Capture and Applications, volume 6056 of SPIE Proceedings, page 605603. SPIE, (2006)A Universal Method for Hierarchical Object Recognition based on Low-Power Vision Sensors., , , , and . ISCAS, page 1209. IEEE, (2007)Integrierter 3D-Sensor für die Tiefenbild-Erfassung in Echtzeit., , and . DAGM-Symposium, volume 254 of Informatik-Fachberichte, page 22-28. Springer, (1990)The Robust Recognition of Traffic Signs from a Moving Car., , , and . DAGM-Symposium, volume 290 of Informatik-Fachberichte, page 287-294. Springer, (1991)Empfehlungen für die Umsetzung von Open Access in Österreich, , , , , , , , , and 3 other author(s). (2015)In-Field Phenotyping Based on Crop Leaf and Plant Instance Segmentation., , , , and . WACV, page 2968-2977. IEEE, (2022)