Difference between revisions of "Eyesis workflow"

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(2. Processing panorama)
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==Workflow==
 
==Workflow==
====1. Building the Frames Index====
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==== 1. Processing panorama ====
* As the frames' index is stored in each corresponding *.mov, it is read and used for building the index of all the frames on 3x drives.
 
 
 
*.mov header's 'stco'-tag contains offsets for all the frames in the file.
 
 
 
==== 2. Processing panorama ====
 
  
 
Stitching scripts [http://community.elphel.com/files/sample_stitch_scripts/ samples].
 
Stitching scripts [http://community.elphel.com/files/sample_stitch_scripts/ samples].

Revision as of 14:10, 30 November 2010

Preface

The following page describes the Eyesis camera post-processing procedures.

Camera Output

Fig.1 Eyesis frames
  • 3x 500GB HDDs (or 3x 256GB SSD HDDs), each containing *.mov files from 3x 3-sensor cameras (a single HDD is connected to a camera).
  • Each frame in a *.mov file is a combination of frames from 3 sensors glued vertically.
  • The cameras are numbered - 1,2,3. The sub images are [1.1, 1.2, 1.3], [2.1, 2.2, 2.3], [3.1, 3.2, 3.3]. 3.1 is the fisheye image.
  • The frames in *.movs are indexed.
  • Single frame format is JP4.
  • Corresponding frames have the same time stamps generated by the 1st camera.
  • The 1st camera frames are geotagged.

Post-Processing Setup

  • HDDs are connected to a processing PC with SATA cables

Workflow

1. Processing panorama

Stitching scripts samples.

  • JP4 images are extracted and converted to DNGs from *.MOVs by the program movie2dng.
  • Dcraw and the Hugin tools are used for stitching (a template *.pto for it should be created once).