Background suppression, sharp cutoff, polarization, and transparent object detection are all examples of new technologies that give photoelectric sensors the ability to solve challenging sensing ...

It is important that the resulting feature map is readable by the general public and policy makers. A critical part of creating such a feature map and method generalizability is the need for accurate ...

The clip presents some examples of reflective objects, which cause light to ‘bounce off’ them. The commentary introduces some key vocabulary: ‘transparent’, ‘opaque’ and ‘reflective’.

Depth reconstruction for transparent objects is a challenging problem, where surface feature matching methods are hindered by complex refraction and reflection. Existing learning-based reconstruction ...

Fraunhofer IOF: 3D recognition of transparent objects in less than 1.5 seconds The automatic recognition of 3D objects with "uncooperative" surfaces is a difficult and slow process.

Due to the fact that transparent objects are optically transparent by themselves and at the same time lack obvious surface features. Simply using Convolutional Neural Network or Transformer Network ...

The main problem TRI managed to overcome was allowing robots to interact with transparent and reflective objects, be that a clear glass tumbler or a glass surface such as a table or window.