Interest point detection is one of the most fundamental and critical problems in computer
vision and image processing. In this paper, we carry out a comprehensive review on image …

Template Matching is a widely used method for object detection in digital images, it requires
great processing power since it is an exhaustive method that compares the intensity levels of …

Keypoint detection usually results in a large number of keypoints which are mostly clustered,
redundant, and noisy. These keypoints often require special processing like Adaptive Non …

Copy–move forgery is one of the most common image forgeries in digital images. In copy–
move forgery, some object or region of an object is copied and duplicated in other parts of …

Object detection and recognition are challenging computer vision tasks receiving great
attention due to the large number of applications. This work focuses on the …

This paper reports the latest developments for the photogrammetric open‐source tool called
GRAPHOS (inte GRA ted PHO togrammetric Suite). GRAPHOS includes some recent …

Keypoint detection is an essential building block for many robotic applications like motion
capture and pose estimation. Historically, keypoints are detected using uniquely engineered …

Image matching is one of the most important tasks in Unmanned Arial Vehicles (UAV)
photogrammetry applications. The number and distribution of extracted keypoints play an …

As local detectors and descriptors can find and represent distinctive keypoints in an image,
various types of keypoints detection and description methods have been proposed. Each …

The estimation of a fundamental matrix (F-matrix) from two-view images is a crucial problem
in epipolar geometry, and a key point in visual simultaneous localization and mapping …