Editorial: Synthetic data for computer vision in agriculture

Editorial : Neural - Fuzzy Applications in Computer Vision

Neural networks and fuzzy logic are two bio-mimetic techniques that are used to provide approximations to real-world problems. While for some people this biological plausibility provides some justification for their use, for others the important point is that, regardless of their origins, both approaches are known to be robust alternatives to conventional deterministic and programmed models. Ho...

Guest Editorial: Machine Learning in Computer Vision

This paper has not been published elsewhere and it has not been submitted simultaneously elsewhere. 2 ABSTRACT In this editorial we briefly discuss interaction between two important areas of artificial intelligence: Computer Vision (CV) and Machine Learning (ML). Although the two fields have a long-standing tradition and can be considered technologically mature, past research in applying ML tec...

Synthetic Movies for Computer Vision Applications

This paper presents a real time graphical simulator based on a client-server architecture. The rendering engine, supported by a specialized client application for the automatic generation of goal oriented motion of synthetic characters, is used to produce realistic image sequences for extensive performance assessment of computer vision algorithms for people tracking.

Computer vision – A versatile technology in automation of agriculture

Computer assisted instruction during quarantine and computer vision syndrome

Computer vision syndrome (CVS) is a set of visual, ocular, and musculoskeletal symptoms that result from long-term computer use. These symptoms include eyestrain, dry eyes, burning, pain, redness, blurred vision, etc, which increase with the duration of computer use. Currently, with the closure of schools and universities due to the continued COVID19 pandemic many universities have taken the pr...