Difference between revisions of "Eyesis workflow"
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==Camera Output== | ==Camera Output== | ||
| + | [[Image:Eyesis_frames.jpg|thumb|500px|Fig.1 Eyesis frames]] | ||
* 3x 500GB HDDs, each containing *.mov files from 3x 3-sensor cameras (a single HDD is connected to a camera). | * 3x 500GB 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. | * Each frame in a *.mov file is a combination of frames from 3 sensors glued vertically. | ||
Revision as of 14:55, 14 July 2010
Contents
Preface
The following page describes the Eyesis camera post-processing procedures.
Camera Output
- 3x 500GB 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. Building the Frames Index
- 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.
2. Processing Panorama
- By index the 3 corresponding JP4 frames are extracted from HDDs.
- JP4 -> DNG (or openEXR).
- Some Image Processing.
- Each frame is cut on 3 separate subframes - 9 images is the resulting array before stitching.
- Then goes stitching (of JPGs? each individual Eyesis has its constant gluepoints?) and the output is a panorama image.
