Optical splitting trees for high-precision monocular imaging.
The authors present a design framework and optimizer for computational systems containing many sensors on a common optical axis.
Mcguire
Morgan
M
Williams College, USA. morgan@cs.williams.edu
Matusik
Wojciech
W
Pfister
Hanspeter
H
Chen
Billy
B
Hughes
John F
JF
Nayar
Shree K
SK
D000465:Algorithms; D003196:Computer Graphics; D017076:Computer-Aided Design; D004867:Equipment Design; D019544:Equipment Failure Analysis; D007089:Image Enhancement / Q000295:instrumentation / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000295:instrumentation / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000295:instrumentation / Q000379:methods*; D055095:Optics and Photonics; D010781:Photography / Q000295:instrumentation / Q000379:methods*; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation; D013382:Subtraction Technique / Q000295:instrumentation; D014584:User-Computer Interface