38 lines
2.4 KiB
Markdown
38 lines
2.4 KiB
Markdown
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- Participants data is accessible under /BS/3D_Gaze_Tracking/archive00/participants/
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- only the data for the following 14 participants is used in the study:
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'p10', 'p16', 'p13', 'p24', 'p5', 'p14', 'p26', 'p12', 'p20', 'p7', 'p15', 'p11', 'p21', 'p25'
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- Eye camera's intrinsic parameters are accessible under /BS/3D_Gaze_Tracking/archive00/eye_camera_images/
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- Scene camera's intrinsic parameters are accessible under /BS/3D_Gaze_Tracking/archive00/scene_camera/
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- geom.py contains the Pinhole camera model along with a couple of geometry related methods.
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- minimize.py contains code on least square minimization using numpy.
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- vector.py contains a fully python version of VPython's vector object used for vector processing.
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- sim.py contains the main GazeSimulation object used for simulation and visualization. this object also
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contains methods for handling real world data.
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- parallax_analysis.py mainly uses GazeSimulation object to perform different experiments on simulation/real-
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world data. (parallax_2D3D_3Cdepths.py is just a single experiment separated from this module)
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- Scripts regarding real-world data processing including marker tracking, marker movement detection, frame
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extraction, ... are inside recording package.
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- recording/tracker.py uses a slightly modified version of aruco_test script to silently track markers in
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the scene, log the output of ArUco, and compute 2D and 3D position of the center of marker given the ArUco output. (the modified aruco_test is included in recording package)
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- recording/process_recordings.py contains the main code for detecting intervals in which marker is not
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moving using sklearn's AgglomerativeClustering. the method performs well almost always but in a few cases manual annotation was required to get the correct output. output of this detection is depicted in marker_motion.png inside each recording's data files. a sample output for a test recording (16 points) is located under /BS/3D_Gaze_Tracking/work/marker_motion.png
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- recording/util/check_pupil_positions.py is used during recording to ensure accurate pupil detection.
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example usage:
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python check_pupil_positions.py /BS/3D_Gaze_Tracking/archive00/participants/p16/2015_09_29/000/
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- recording/util/SingleMarkerVisualizer/ contains the main Processing script for visualizing a moving marker
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during the recording experiments. the code uses Processing version 3.
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