scholarly journals Image-Space Marker Detection and Recognition Using Projective Invariants

2011 ◽  
Author(s):  
Filippo Bergamasco ◽  
Andrea Albarelli ◽  
Andrea Torsello
Keyword(s):  
Image Space ◽  
Projective Invariants ◽  
Marker Detection ◽  
Space Marker ◽  
Detection And Recognition

scholarly journals Pi-Tag: a fast image-space marker design based on projective invariants

2012 ◽  
Vol 24 (6) ◽  
pp. 1295-1310 ◽  
Author(s):  
Filippo Bergamasco ◽  
Andrea Albarelli ◽  
Andrea Torsello
Keyword(s):  
Image Space ◽  
Projective Invariants ◽  
Marker Design ◽  
Space Marker

Composite X marker detection and recognition

2011 ◽  
Author(s):  
Cai Meng ◽  
Hongsheng He ◽  
Shuzhi Sam Ge
Keyword(s):  
Marker Detection ◽  
Detection And Recognition

High Resolution Specimen Area Imaged Under Negligible Field Aberrations

1970 ◽  
Vol 28 ◽  
pp. 540-541 ◽  
Author(s):  
T. Yanaka ◽  
K. Shirota
Keyword(s):  
High Resolution ◽  
Field Distribution ◽  
Image Space ◽  
Beam Deflection ◽  
Objective Lens ◽  
Resolution Limit ◽  
Leakage Flux ◽  
Specimen Area ◽  
Points Of View ◽  
Aberration Theory

It is significant to note field aberrations (chromatic field aberration, coma, astigmatism and blurring due to curvature of field, defined by Glaser's aberration theory relative to the Blenden Freien System) of the objective lens in connection with the following three points of view; field aberrations increase as the resolution of the axial point improves by increasing the lens excitation (k2) and decreasing the half width value (d) of the axial lens field distribution; when one or all of the imaging lenses have axial imperfections such as beam deflection in image space by the asymmetrical magnetic leakage flux, the apparent axial point has field aberrations which prevent the theoretical resolution limit from being obtained.

Detection and recognition.

1978 ◽  
Vol 85 (3) ◽  
pp. 192-206 ◽  
Author(s):  
David M. Green ◽  
Theodore G. Birdsall
Keyword(s):  
Detection And Recognition

Invitational Conference on Training for Auditory Detection and Recognition

1968 ◽  
Author(s):  
John Annett ◽  
H. Wallace Sinaiko
Keyword(s):  
Auditory Detection ◽  
Detection And Recognition

Is It a Shark or a Marine Animal? Detection and Recognition Across Categorical Levels in RSVP

2013 ◽  
Author(s):  
Mary C. Potter ◽  
Carl Erick Hagmann
Keyword(s):  
Marine Animal ◽  
Animal Detection ◽  
Detection And Recognition

Processing of remote sensing data for detection and recognition of object classes

2004 ◽  
Vol 10 (5-6) ◽  
pp. 175-177
Author(s):  
S.L. Kravtsov ◽  
◽  
L.V. Oreshkina ◽  
Keyword(s):  
Remote Sensing ◽  
Remote Sensing Data ◽  
Sensing Data ◽  
Object Classes ◽  
Detection And Recognition

PECULIARITIES OF SMALL UNMANNED AERIAL VEHICLES DETECTION AND RECOGNITION

2019 ◽  
Vol 78 (9) ◽  
pp. 771-781 ◽  
Author(s):  
V. M. Kartashov ◽  
V. N. Oleynikov ◽  
S. A. Sheyko ◽  
S. I. Babkin ◽  
I. V. Korytsev ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Aerial Vehicles ◽  
Detection And Recognition
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