The Frankencamera: an experimental platform for computational photography

@article{Adams2012TheFA,
  title={The Frankencamera: an experimental platform for computational photography},
  author={Andrew Adams and David E. Jacobs and Jennifer Dolson and Marius Tico and Kari Pulli and Eino-Ville Talvala and Boris Ajdin and Daniel Andr{\'e} Vaquero and Hendrik P. A. Lensch and Mark Horowitz and Sung Hee Park and Natasha Gelfand and Jongmin Baek and Wojciech Matusik and Marc Levoy},
  journal={ACM Trans. Graph.},
  year={2012},
  volume={29},
  pages={29:1-29:12}
}
Although there has been much interest in computational photography within the research and photography communities, progress has been hampered by the lack of a portable, programmable camera with sufficient image quality and computing power. To address this problem, we have designed and implemented an open architecture and application programming interface (API) for such cameras: the Frankencamera. It consists of a base hardware specification, a software stack based on Linux, and an API for C… 

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References

SHOWING 1-10 OF 50 REFERENCES
Viewfinder Alignment
TLDR
An algorithm for aligning successive viewfinder frames is described, which is robust to noise, never requires storing more than one viewfinder frame in memory, and runs at 30 frames per second on standard smartphone hardware.
High performance imaging using large camera arrays
TLDR
A unique array of 100 custom video cameras that are built are described, and their experiences using this array in a range of imaging applications are summarized.
Image deblurring using inertial measurement sensors
TLDR
This work uses a combination of inexpensive gyroscopes and accelerometers in an energy optimization framework to estimate a blur function from the camera's acceleration and angular velocity during an Exposure to solve for the camera motion at a high sampling rate during an exposure and infer the latent image using a joint optimization.
CMUcam3: An Open Programmable Embedded Vision Sensor
TLDR
TheCMUcam3 is the third generation of the CMUcam system and is designed to provide a flexible and easy to use open source development environment along with a more powerful hardware platform.
High Dynamic Range Imaging: Acquisition, Display, and Image-Based Lighting (The Morgan Kaufmann Series in Computer Graphics)
TLDR
This landmark book is the first to describe HDRI technology in its entirety and covers a wide-range of topics, from capture devices to tone reproduction and image-based lighting, leading to an unparalleled visual experience.
Computational Re-Photography
TLDR
This work presents a real-time estimation and visualization technique for rephotography that helps users reach a desired viewpoint during capture and demonstrates the success of the technique by rephotographing historical images and conducting user studies.
Computational Photography: Mastering New Techniques for Lenses, Lighting, and Sensors
TLDR
The computational techniques discussed cover topics in exploiting new ideas in manipulating optics, illumination, and sensors at time of capture and reconstruction procedures that go well beyond the traditional digital darkroom experience.
Being `undigital' with digital cameras: extending dynamic range by combining differently exposed pictures
TLDR
This work proposes a means of combining diierently exposed pictures to obtain a single picture of extended dynamic range, and improved color delity, which works reliably with images from a digital camera of unknown response, or from a scanner with unknown response.
Smart Cameras as Embedded Systems
Recent technological advances are enabling a new generation of smart cameras that represent a quantum leap in sophistication. While today's digital cameras capture images, smart cameras capture
MeshEye: A Hybrid-Resolution Smart Camera Mote for Applications in Distributed Intelligent Surveillance
TLDR
MeshEye is introduced, an energy-efficient smart camera mote architecture that has been designed with intelligent surveillance as the target application in mind and basic vision algorithms for object detection, acquisition, and tracking are described and illustrated on real- world data.
...
...