#computational camera

A London startup by the name of Photogram has launched a futuristic computational camera that uses the wonders of AI and machine learning to continually improve the quality of imagery captured. The Alice camera comes embedded with a proprietary AI mechanism which deploys deep learning to optimize and improve settings such as light exposure, color balance and autofocus. The camera is also more…

Computational Camera Sales Market Report 2018

In this report, the global Computational Camera market is valued at USD XX million in 2017 and is expected to reach USD XX million by the end of 2025, growing at a CAGR of XX% between 2017 and 2025.

Access Full Report: https://www.algororeports.com/reports/global-computational-camera-sales-market-report-2018

Geographically, this report split global into several key Regions, with sales (K Units),…

Global Computational Camera Market 2018- Apple, Samsung Electronics, Canon, Nikon, Sony

Global Computational Camera Market 2018 Research Report:- By Manufacturers, Type and Applications, Status and Forecast, 2012-2022

This report studies the Computational Camera market status and outlook of global and major regions, from angles of manufacturers, regions, product types and end industries; this Computational Camera report analyzes the top manufacturers in global and major regions and…

Camera Restricta is a camera that searches online for photos that have been taken nearby, and it blocks the viewfinder if too many photos have been taken at the location.

"1 Pixel Camera is an iPhone application which allows the user to take a photograph, select a dominant colour from a photo, and save that colour to the camera roll for storage and sharing on social networks."

-James Bridle-

'One color camera' allows the shutter button to be pressed only if the scene contains more than 50% of the designated color(red, green, blue).

The one color camera is a critical design concept that aims at resharpening the photographer’s look and making him more aware of the three basic colors that are the basic elements of his photographs. The camera exists in three versions: blue, green and red. Depending on the color, each camera allows the photographer to take a photograph only when the image contains enough of the respective color. When for example the green camera is pointed at something, a sensor measures the amount of green in the image. If it is below 50 %, the shutter button is blocked, and no picture can be taken. Only when the amount of green is above 50 %, the shutter button can be pressed.

'SenseCam' is a wearable camera that takes photos automatically. 

Originally conceived as a personal ‘Black Box’ accident recorder, it soon became evident that looking through images previously recorded tends to elicit quite vivid remembering of the original event. This exciting effect has formed the basis of a great deal of research around the world using SenseCam.

-Microsoft Research-

Three Phases of Computational Photography by Ramesh Raskar

1. Epsilon Photography It is about building a camera that has enhanced performance in terms of the traditional parameters, such as dynamic range, field of view, or depth of field. The scene is recorded via multiple images, each captured by epsilon variation of the parameters and merged into an image that has best features from all of them. It corresponds to the low-level vision: estimating pixels and pixel features.

– Low-level Vision: Pixels – Multi photos by bracketing (HDR, panorama) – ‘Ultimate camera’

2. Coded Photography It is about building a camera that go beyond capabilities of the best possibilities of conventional camera. It reversibly encodes information about the scene in a single (or a few) photograph so that the corresponding decoding allows powerful decomposition of the image into light fields, motion deblurred images, global/direct illumination components or distinction between geometric versus material discontinuities. This corresponds to the mid-level vision: segmentation, organization, inferring shapes, materials and edges.

– Mid-Level Cues: Regions, Edges, Motion, Direct/global – Single/few snapshot: Reversible encoding of data – Additional sensors/optics/illumination

3. Essence Photography It is about going beyond the radiometric quantities and challenging the notion that a camera should mimic a single-chambered human eye. Instead of recovering physical parameters, the goal will be to capture the visual essence of the scene and analyze the perceptually critical components. It may loosely resemble depiction of the world after high level vision processing. It will spawn new forms of visual artistic expression and communication.

– Not mimic human eye – Beyond single view/illumination – ‘New artform'