Object detection and recognition are an integral part of computer vision systems. In computer vision, the work begins with a breakdown of the scene into components that a computer can see and analyse.

The graph below shows the total number of publications each year in Ellipse Detection and Fitting Methods in Computer Vision. References [1] Gaussian model for closed curves .

Fig. 1: DETR transformer model compares its prediction with the ground truth. When there is no match, it would yield a “no object.” A match would validate an object. Source: “End-to-End Object ...

Improved Human, Object Detection Technology With New Computer Software. ScienceDaily . Retrieved June 3, 2025 from www.sciencedaily.com / releases / 2009 / 11 / 091103112247.htm ...

Computer vision has some technical challenges as well. It’s limited by hardware, including cameras and sensors. Additionally, computer vision systems are very complex to scale.

“The present disclosure relates generally to the field of computer vision technology. More specifically, the present disclosure relates to computer vision systems and methods for vehicle damage ...

A new method significantly advances 3D imaging of reflective surfaces. The approach integrates techniques known from high-precision optical 3D metrology and computer vision, and could benefit ...

Earlier this week Google announced its MobileNets family of lightweight computer vision models. These models can handle tasks like object detection, facial recognition and landmark recognition ...

A research team in China has developed a novel real-time shadow detection method for PV modules. It uses computer vision for the task, with techniques that enhance the information of the live feed ...