Title
Slant Perception Under Stereomicroscopy.
Abstract
Objective These studies used threshold and slant-matching tasks to assess and quantitatively measure human perception of 3-D planar images viewed through a stereomicroscope. The results are intended for use in developing augmented-reality surgical aids. Background Substantial research demonstrates that slant perception is performed with high accuracy from monocular and binocular cues, but less research concerns the effects of magnification. Viewing through a microscope affects the utility of monocular and stereo slant cues, but its impact is as yet unknown. Method Participants performed in a threshold slant-detection task and matched the slant of a tool to a surface. Different stimuli and monocular versus binocular viewing conditions were implemented to isolate stereo cues alone, stereo with perspective cues, accommodation cue only, and cues intrinsic to optical-coherence-tomography images. Results At magnification of 5x, slant thresholds with stimuli providing stereo cues approximated those reported for direct viewing, about 12 degrees. Most participants (75%) who passed a stereoacuity pretest could match a tool to the slant of a surface viewed with stereo at 5x magnification, with mean compressive error of about 20% for optimized surfaces. Slant matching to optical coherence tomography images of the cornea viewed under the microscope was also demonstrated. Conclusion Despite the distortions and cue loss introduced by viewing under the stereomicroscope, most participants were able to detect and interact with slanted surfaces. Application The experiments demonstrated sensitivity to surface slant that supports the development of augmented-reality systems to aid microscope-aided surgery.
Year
DOI
Venue
2017
10.1177/0018720817722871
HUMAN FACTORS
Keywords
Field
DocType
vision,perception-action,medical devices and technologies,radiology and medical imaging,information processing,visual displays,pictorial displays,object displays
Computer vision,Stereo microscope,Simulation,Artificial intelligence,Depth perception,Magnification,Engineering,Stimulus (physiology),Monocular,Perception,Accommodation
Journal
Volume
Issue
ISSN
59.0
7.0
0018-7208
Citations 
PageRank 
References 
0
0.34
1
Authors
4
Name
Order
Citations
PageRank
samantha horvath132.05
Kori Macdonald200.34
J.M. Galeotti37513.90
Roberta L. Klatzky4827160.45