ABSTRACT
Drawing is assumed to be a talent in people, which makes drawing a natural process. Based on the scenario in consideration, there are times when it is necessary to assess drawing skills. In this thesis, I intend to develop an algorithm that will measure the skill of drawing by matching the hand-drawn image with the original template. The techniques that are already available make use of a complicated process. Notably, computers can be trained to identify the match at a human level which will resolve the tedious and overwhelming traditional process. Image similarity involves identifying the level of similarities in an image using a reference image; computer vision applications are used. The SIFT method and Siamese Network are analyzed and implemented to measure image similarity. The results show that it is possible to measure the skill level of an art. Via the analysis of the features, SIFT-based implementation was able to detect better than VGG16.
ABSTRACT:- This study was carried out to assess the knowledge, attitude and practices of women towards famil...
ABSTRACT
The broad objective of the study is focused on readers perception of the importance and...
ABSTRACT
The general objective of this research work is to investigate the likely challenges that SMEs will encounter in...
Background to the Study
In recent years various women's issues have been the focus of attention and debate not only...
THE INFLUENCE OF SERVANT LEADERSHIP ON EMPLOYEE SATISFACTION
This research investigate...
ABSTRACT
Availability of dietary energy is a major problem in poultry in Nigeria. Maize, a conventional energy ingredient is expensive. C...
Background Of The Study
The fundamental components of teaching and learning resources include human resource, physical f...
Background of the study
From pre-consolidation to post-consolidation, the Nigerian insurance sector has shown sig...
BACKGROUND OF THE STUDY
Cyber-attacks are constantly making headlines, putting countries, industries, a...
Abstract: This research explores the role of social media in promoting vocational education...