Abstract: Photogrammetric analysis of an object is carried out by capturing images of the object. Photogrammetric analysis requires the capture of multiple overlapping images of the object from various camera positions. These images are then processed to generate a three-dimensional (3D) point cloud representing the object in 3D space. A 3D model of the object is used to generate a model 3D point cloud. Based on the modelled point cloud and camera optics, the visibility of each point in the 3D point cloud is determined for a range of possible camera positions. The radial component of the camera is fixed by defining a shell of suitable camera positions around the part and for each position on the defined shell, the quality as a function of camera position is calculated. This defines a density function over the potential camera positions. Initial camera positions are selected based on the density function.

Abstract: The present invention introduces a small-size temperature sensor, which exploits a random or oriented network of un-functionalized, single or multi-walled, carbon nanotubes to monitor a wide range of temperatures. Such network is manufactured in the form of freestanding thin film with an electric conductance proven to be a monotonic function of the temperature, above 4.2 K. Said carbon nanotube film is wire-connected to a high precision source-measurement unit, which measures its electric conductance by a standard two or four-probe technique. Said temperature sensor has a low power consumption, an excellent stability and durability, a high sensitivity and a fast response; its manufacturing method is simple and robust and yields low-cost devices. Said temperature sensor, freely scalable in dimension, is suitable for local accurate measurements of rapidly and widely changing temperatures, while introducing a negligible disturb to the measurement environment.