Corners in images represent a lot of important information. Extracting corners accurately is significant to image processing, which can reduce much of the calculations. In this paper, three widely used corner detection algorithms, FAST (Features from Accelerated Segment Test), Eigen Value and Harris corner detection algorithms which are all based on intensity, were compared in stability, noise ...

Estimating curvature on digital shapes is known to be a difficult problem even in high resolution images . Moreover the presence of noise contributes to the instability of the estimators and limits their use in many computer vision applications like corner detection. Several recent curvature estimators , which come from the discrete geometry community, can now process damaged data and integrate...

The use of a 3D model helps to diagnosis and accurately locate a disease where it is neither available, nor can be exactly measured in a 2D image. Therefore, highly accurate software for a 3D model of vessel is required for an accurate diagnosis of patients. We have generated standard vessel because the shape of the arterial is different for each individual vessel, where the standard vessel can...

An implementation and limited extension of a traffic sign recognition method based on the work by [1] is presented here. This implementation can be extended to target real-time detection. Yield sign, stop sign and red-bordered circular signs are considered. First, image is color segmented based on a thresholding technique. Then, corner features are detected using convolution masks (based on wor...

The objective of the presented work is to improve the stability of interest point detection under illumination changes. The use of a global threshold is shown to be insufficient and three methods are proposed to enhance a state–of–the–art algorithm: the Harris corner detector. These methods are based on different principles: a local image normalization as preprocessing, a local threshold adapti...

With the increasing amount of 3D data and the ability of capture devices to produce low-cost multimedia data, the capability to select relevant information has become an interesting research field. In 3D objects, the aim is to detect a few salient structures which can be used, instead of the whole object, for applications like object registration, retrieval, and mesh simplification. In this pap...

Camera calibration is a process to find camera parameters. Camera parameter consists of intrinsic and extrinsic configuration and it is important to deal with the three-dimensional (3-D) geometry of the cameras and 3-D scene. However, camera calibration is quite annoying process when the number of cameras and images increase because it is operated by hand to indicate exact points. In order to e...

Our goal is to enhance matching speed which is important for image engineering. Second Partial Derivative operator in Harris corner detector is directly used to compute the similarity between corners. Then initial matches are obtained. The algorithm is contrasted with normalized cross-correlation and method based on horizontal and vertical gradient. Its computational complexity is reduced and m...

Through the installation of a monocular vision sensor on a target and shooting sequence images of the floor, combined with the characteristics of the sequence images, an indoor mobile visual localization algorithm based on Harris-SIFT is proposed. The algorithm is first to establish first-order DOG scale space of sequence images of the floor, to extract feature points in each layer images of DO...