
Improved three-dimensional localization of multiple small objects in close proximity in digital holography
Author(s) -
Matthew L Hall,
Philip J. McCall,
Catherine E. Towers,
David P. Towers
Publication year - 2020
Publication title -
applied optics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.668
H-Index - 197
eISSN - 2155-3165
pISSN - 1559-128X
DOI - 10.1364/ao.404432
Subject(s) - holography , digital holography , optics , focus (optics) , position (finance) , computer science , depth of field , computer vision , artificial intelligence , object (grammar) , holographic display , light field , physics , finance , economics
Using intensity gradient- or sparsity-based focus metrics, the ability to accurately localize the three-dimensional (3D) position of a small object in a digital holographic reconstruction of a large field of view is hindered in the presence of multiple nearby objects. A more accurate alternative method for 3D localization, based on evaluation of the complex reconstructed volume, is proposed. Simulations and experimental data demonstrate a reduction in depth positional error for single objects and a notably improved axial resolution of multiple objects in close proximity.