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The early work of vSLAM using a monocular camera was based on tracking and mapping feature points in 2000s.
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This camera is based on a CMOS FPA of 1024 × 1024 photo-detectors.
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The rear camera is based on complementary metal-oxide-semiconductor (CMOS) image sensor with 13 million pixels.
With a sensitive area of ∼ 150 cm2, this camera is based on arrays of lutetium oxyorthosilicate (LSO) crystals (1×1×3 mm3) coupled to 11×11-mm2 11×11-mm2sensitive avalanche photodiodes (PSAPD).
The camera is based on the Leica M Type 240 platform but has been modified to look and act like an old Zenit.
The camera is based on YouTube's VR180 platform, which is aiming to basically make capturing VR live-action content a little more palatable to creators.
The camera is based on Time of Flight technology in which the location of objects is calculated by measuring how long it takes a light signal to reflect off a surface and return to the sensor.
This camera is based on a CCD77-00 (e2v Technologies Ltd., Essex, UK) with 512 × 512 pixels (24 × 24 μm) and has a quantum efficiency between ~50% and ~95% in the wavelength region of 400-900 nm.
The design of the camera is based on the use of a silicon collimator consisting of a stack of double-sided, AC-coupled microstrip detectors (area 6×6 cm2, 500 μm thickness, 128 channels/side).
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