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Related: About this forumCambits, a modular imaging system that can transform into many different cameras
This looks interesting.
From phys.org:
[center][/center]
Computer Science Professor Shree Nayar and Makoto Odamaki, a visiting scientist from Ricoh Corporation, have developed Cambits, a modular imaging system that enables the user to create a wide range of computational cameras. Cambits comprises a set of colorful plastic blocks of five different typessensors, light sources, actuators, lenses, and optical attachments. The blocks can easily be assembled to make a variety of cameras with different functionalities such as high dynamic range imaging, panoramic imaging, refocusing, light field imaging, depth imaging using stereo, kaleidoscopic imaging and even microscopy.
"We wanted to redefine what we mean by a camera," says Nayar, who is the T.C. Chang Professor of Computer Science at Columbia Engineering and a pioneer in the field of computational imaging. "Traditional cameras are really like black boxes that take one type of image. We wanted to rethink the instrument, to come up with a hardware and software system that is modular, reconfigurable, and able to capture all kinds of images. We see Cambits as a wonderful way to unleash the creativity in all of us."
Cambit blocks, whose exteriors were 3D-printed, are easy and quick to configure. They are attached through magnets: no screws, no cables. When two blocks are attached, they are electrically connected by spring-loaded pins. The pins carry the power (from a host computer, tablet, or smartphone), data, and control signals.
Each block has an ID and when a set of blocks are put together, the host computer recognizes the current configuration and provides a menu of options for what the user might want to do. Cambits is scalable: new blocks can be added to the existing set.
more ...
Computer Science Professor Shree Nayar and Makoto Odamaki, a visiting scientist from Ricoh Corporation, have developed Cambits, a modular imaging system that enables the user to create a wide range of computational cameras. Cambits comprises a set of colorful plastic blocks of five different typessensors, light sources, actuators, lenses, and optical attachments. The blocks can easily be assembled to make a variety of cameras with different functionalities such as high dynamic range imaging, panoramic imaging, refocusing, light field imaging, depth imaging using stereo, kaleidoscopic imaging and even microscopy.
"We wanted to redefine what we mean by a camera," says Nayar, who is the T.C. Chang Professor of Computer Science at Columbia Engineering and a pioneer in the field of computational imaging. "Traditional cameras are really like black boxes that take one type of image. We wanted to rethink the instrument, to come up with a hardware and software system that is modular, reconfigurable, and able to capture all kinds of images. We see Cambits as a wonderful way to unleash the creativity in all of us."
Cambit blocks, whose exteriors were 3D-printed, are easy and quick to configure. They are attached through magnets: no screws, no cables. When two blocks are attached, they are electrically connected by spring-loaded pins. The pins carry the power (from a host computer, tablet, or smartphone), data, and control signals.
Each block has an ID and when a set of blocks are put together, the host computer recognizes the current configuration and provides a menu of options for what the user might want to do. Cambits is scalable: new blocks can be added to the existing set.
more ...
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Cambits, a modular imaging system that can transform into many different cameras (Original Post)
Jim__
Feb 2016
OP
shraby
(21,946 posts)1. See anything about the cost of them?
Jim__
(14,083 posts)2. This was research done at Columbia University. I don't believe it's a product yet.
Here's a link to a pdf with some more information.
An excerpt from the pdf:
...
Cambits is a versatile modular imaging system that enables the user to create a wide range of computational cameras . Our current prototype is a proof-of-concept that we have used to demonstrate the key attributes of Cambits ease of assembly, self-identification and diverse functionality. Using our current implementation, we have shown that Cambits can be a powerful platform for computational photography, enabling the user to express their creativity along several dimensions. An important aspect of Cambits is that it is design to be an open platform that is scalable. One can add several other hardware blocks such as structured light sources, multispectral sources, telescopic optical attachments and even non-imaging sensors for measuring acceleration, orientation, sound, temperature , pressure, etc . One can imagine developing algorithms that use such a diverse set of sensors to trigger/control various image capture and processing strategies.
This research was done at the Computer Vision Laboratory at Columbia University, while Makoto Odamaki was a Visiting Scientist from Ricoh Company, Ltd. , Japan. The authors thank William Miller for designing and 3D printing the chas si s of the Cambit s blocks , Wentao Jiang for his contribution to the user interface, and Daniel Sims for editing the demonstration video. Divyansh Agarwal, Ethan Benjamin, Jihan Li, Shengyi Lin and Avinash Nair implemented several of the computational photography algorithms. The authors thank Anne Fleming for proofreading this paper.
...
Cambits is a versatile modular imaging system that enables the user to create a wide range of computational cameras . Our current prototype is a proof-of-concept that we have used to demonstrate the key attributes of Cambits ease of assembly, self-identification and diverse functionality. Using our current implementation, we have shown that Cambits can be a powerful platform for computational photography, enabling the user to express their creativity along several dimensions. An important aspect of Cambits is that it is design to be an open platform that is scalable. One can add several other hardware blocks such as structured light sources, multispectral sources, telescopic optical attachments and even non-imaging sensors for measuring acceleration, orientation, sound, temperature , pressure, etc . One can imagine developing algorithms that use such a diverse set of sensors to trigger/control various image capture and processing strategies.
This research was done at the Computer Vision Laboratory at Columbia University, while Makoto Odamaki was a Visiting Scientist from Ricoh Company, Ltd. , Japan. The authors thank William Miller for designing and 3D printing the chas si s of the Cambit s blocks , Wentao Jiang for his contribution to the user interface, and Daniel Sims for editing the demonstration video. Divyansh Agarwal, Ethan Benjamin, Jihan Li, Shengyi Lin and Avinash Nair implemented several of the computational photography algorithms. The authors thank Anne Fleming for proofreading this paper.
...
shraby
(21,946 posts)3. I read it and watched the video but didn't realize it isn't a product yet.