Targets and objects registration and tracking in a sequence of images play an important role in various areas. One of the methods in image registration is feature-based algorithm which is accomplished in two steps. The first step includes finding features of sensed and reference images. In this step, a scale space is used to reduce the sensitivity of detected features to the scale changes. Afterw...

In this paper, we propose a robust image feature extraction and fusion method to effectively fuse depth information improve the registration accuracy of RGB-D images. The proposed directly splices point descriptors with corresponding cloud obtain descriptor points. is constructed based on SIFT, SURF, ORB PFH FPFH descriptors. Furthermore, performance features tested through datasets YCB KITTI. ...

This paper presents an automatic method for producing stipple renderings from photographs, following the style of professional hedcut illustrations. For effective depiction of image features, we introduce a novel dot placement algorithm which adapts stipple dots to the local shapes. The core idea is to guide the dot placement along ‘feature flow’ extracted from the feature lines, resulting in a...

A feature based image mosaicing algorithm is presented in this project. A relaxation based correspondence algrithm is used to first select corresponding corners in two images. RANSAC is used to estimate the homography relating the two images. The estimated homogrphy is refined using Newton's non-linear method. A dynamic programming based blending algorithm was used to seamlessly blend the two i...

Image feature extraction is instrumental for most of the best-performing algorithms in computer vision. However, it is also expensive in terms of computational and memory resources for embedded systems due to the need of dealing with individual pixels at the earliest processing levels. In this regard, conventional system architectures do not take advantage of potential exploitation of paralleli...

We propose an automatic image mosaicing method which can construct a panoramic image from a collection of digital still images. Our method is fast and robust enough to process a nonplanar scene with unrestricted camera motion. The method includes the following two techniques. First, we use a multiresolution patch-based optical flow estimation for making feature correspondences to obtain a homog...