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(@mikenov) / Twitter

@mikenov: It is foreseeable that the gunman was able to create, to model the 3D Target of the top part of Trump’s right ear, calculating and locking its exact shape and location, and then used the Laser Gun.

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The News And Times Blog

It is foreseeable that the gunman was able to create, to model the 3D Target of the top part of Trump’s right ear, calculating and locking its exact shape and location, and then used the Laser Gun.

3D Object Reconstruction and Recognition - Microsoft Research: Overview

The Laser Rangefinder, that T.M. Crooks,  the Trump’s alleged gunman used (if it was the Laser one), allows for the “3D object recognition and 3D object modelling“. The gunman kept Trump’s old photos in  his mobile phone, and he was observed looking through his rangefinder and then making notes in his phone prior to shooting.  It is foreseeable that the gunman (or other, hidden gunmen present at the scene) was able to create, to model the 3D Target of the top part of Trump’s right ear, calculating and locking its exact shape and location, and then used the Laser Gun (hidden and/or combined and camouflaged by the Laser Rangefinder) to hit this particular targeted location, the tip of the Trump’s right ear with the “HIGH PRECISION”, of the “depth resolutions of 0.1 mm or less”, thus demonstrating his (or his handlers’) capabilities. 

3D modelling

Laser rangefinders are used extensively in 3D object recognition, 3D object modelling, and a wide variety of computer vision-related fields. This technology constitutes the heart of the so-called time-of-flight 3D scanners. In contrast to the military instruments, laser rangefinders offer high-precision scanning abilities, with either single-face or 360-degree scanning modes.

A number of algorithms have been developed to merge the range data retrieved from multiple angles of a single object to produce complete 3D models with as little error as possible. One of the advantages offered by laser rangefinders over other methods of computer vision is in not needing to correlate features from two images in order to determine depth-information like stereoscopic methods do.

Laser rangefinders used in computer vision applications often have depth resolutions of 0.1 mm or less. This can be achieved by using triangulation or refraction measurement techniques unlike to the time of flight techniques used in LIDAR.  

See also: 

3D object recognition and 3D object modelling for high precision targeting with laser gun – GS

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