Feature extraction and matching has the limelight in all almost all the fields ranging from
biomedical to exploratory research. It has ubiquitous applications in present world that is …

Due to requirements and necessities in digital image research, image matching is
considered as a key, essential and complicating point especially for machine learning …

Image registration is the process of matching, aligning and overlaying two or more images of
a scene, which are captured from different viewpoints. It is extensively used in numerous …

Fast and robust image matching is a very important task with various applications in
computer vision and robotics. In this paper, we compare the performance of three different …

Image features detection and matching algorithms play an important role in the field of
machine vision. Among them, the computational efficiency and robust performance of the …

Fast and robust feature extraction is crucial for many computer vision applications such as
image matching. The representative and the state-of-the-art image features include Scale …

Accurate and robust image registration is important task in many applications such as image
retrieval and computer vision. To perform the image registration, essential required steps are …

In the study, it presents an efficient algorithm based on SURF (Speeded Up Robust
Features). The method applies the SURF algorithm in the detection and description for …

Aiming at the problems of large amount of calculation, low matching accuracy and long
matching time in image matching in visual positioning system, this paper proposes an image …

The traditional speeded-up robust features (SURF) algorithm has certain stability in scale,
rotation, illumination and other changes. However, this algorithm has problems such as …