Fish Eye Dataset
A data set providing synthetic and real-world fisheye video sequences
Overview
Fisheye video data holds significant importance across various applications owing to its unique imaging characteristics. The fisheye lens, capable of capturing an exceptionally wide field of view, exceeding 180 degrees, has become integral in modern technology. In the realm of security and surveillance, fisheye cameras for example are widely adopted, offering a panoramic perspective that minimizes blind spots and enhances overall coverage. These cameras contribute to comprehensive monitoring of large areas, improving situational awareness. Beyond security, automotive applications benefit from fisheye cameras, particularly in advanced driver assistance systems (ADAS) and parking assistance. These cameras provide a holistic view around vehicles, aiding in navigation, obstacle detection, and overall safety. Aside from this, the ability of fisheye lenses to capture an extensive field of view makes it a pivotal technology in addressing various challenges and enhancing the capabilities of many more modern systems.
This data set aims at providing researchers with video sequences for developing and testing algorithms designed for fisheye data.
Both synthetic sequences generated in Blender as well as real-world sequences captured with an actual fisheye camera are provided.
The field of view is 185° for all sequences; the focal length is 1.8 mm.
Further details on both setup and settings as well as on the sequence characteristics may be found in the corresponding ICASSP 2016 publication (information below).
Database
Synthetic sequences
The equisolid fisheye sequences are provided in PNG format (8 bit, RGBA). To save storage space, the synthetic sequences have been compressed in a lossless manner using OptiPNG.
Click on the preview image for the original resolution (1088 x 1088). Click on the name below the preview image to download the sequence.
Cubes with Checkerboard Patterns(same camera motion for all sequences) |
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Calibration |
use CheckercubeC |
| Download: | CheckercubeA | CheckercubeB | CheckercubeC | CheckercubeD | ||
Cubes with Patterns and Text(same camera motion for all sequencs) |
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| Download: | Rays | Stars | Lorem | Alphabet | Gradient | |
Image Cubes(same camera motion for all sequences) |
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| Download: | Cards | Clips | Coins | Fence | Flowers | Pencils |
Automotive and Surveillance(static camera) |
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| Download: | CarsA | CarsB | PoolNightB | HallwayC | LivingroomB | Room |
Surveillance “in Motion”(moving camera including pure rotation and translation) |
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| Download: | Street | HallwayA | HallwayD | HallwayB | LivingroomA | LivingroomC |
Miscellaneous Scenes(local, global, and mixed motion) |
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| Download: | PillarsA | PillarsB | PillarsC | PoolA | PoolB | PoolNightA |
Real-world sequences
Demosaicked 8-bit RGB sequences in PNG format are provided along with their corresponding 12-bit Bayer GR (RAW) versions in TIFF format.
Click on the preview image for the original resolution (1150 x 1086). Click on the name below the preview image to download the sequence.
Testchart and Text(horizontal, vertical, shaky motion) |
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| Download: | TestchartA | RAW | TestchartB | RAW | TestchartC | RAW | AlfaA | RAW | AlfaB | RAW | AlfaC | RAW |
Book Shelves(zoom, horizontal motion, horizontal pan, shaky motion) |
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| Download: | LibraryA | RAW | LibraryB | RAW | LibraryC | RAW | LibraryD | RAW | LibraryE | RAW | |
Automotive(moving camera) |
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| Download: | DriveA | RAW | DriveB | RAW | DriveC | RAW | DriveD | RAW | DriveE | RAW | |
Automotive and Surveillance(static camera) |
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| Download: | CarparkA | RAW | CarparkB | RAW | CarparkC | RAW | |||
Surveillance(static camera) |
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| Download: | ElevatorA | RAW | ElevatorB | RAW | ElevatorC | RAW | ElevatorD | RAW | LabRoomA | RAW | LabRoomB | RAW |
Miscellaneous Scenes(global motion) |
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Calibration(size of one square: |
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| Download: | ClutterA | RAW | ClutterB | RAW | LectureA | RAW | LectureB | RAW | Calibration |
Acknowledgment
This work was supported by the German Research Foundation (DFG) as Research Area A.3 of the Research Training Group GRK-1773 Heterogeneous Image Systems.
Publication
If you use the dataset for your research, you should cite the follwing paper:
Andrea Eichenseer, André Kaup
A data set providing synthetic and real-world fisheye video sequences
2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Shanghai, China, 2016, pp. 1541-1545
DOI: 10.1109/ICASSP.2016.7471935
arxiv: https://arxiv.org/abs/2211.17030
License
The data set is publically, freely, and exclusively available for research purposes.
A compilation of the image files and blender models used for the synthetic sequences along with their respective licensing information is provided in this document: License Information