Range sensors, in particular time-of-flight and stereo cameras, are being increasingly used for applications such as robotics, automotive, human-machine interface and virtual reality. The ability to recover the geometrical structure of visible surfaces is critical for scene understanding. Typical structured indoor or urban scenes are often represented via compositional models comprising multipl...

Li Zheng 1, Manzhu Yu 2, Mengxiao Song 3, Anthony Stefanidis 2, Zheng Ji 3,4,* and Chaowei Yang 2 1 School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China; [email protected] 2 Department of Geography and GeoInformation Sciences, College of Science, George Mason University, Fairfax, VA 22030, USA; [email protected] (M.Y.); [email protected] (A.S.); [email protected] (C.Y.) 3 School of...

The practical application of machine perception to support physical manipulation in unstructured environments remains a barrier to the development of intelligent robotic systems. Recently, great progress has been made by the large-scale machine perception community, but these methods have made few contributions to the applied robotic perception. This is in part because such large-scale systems ...

In this paper, LO-RANSAC 3-LAF – a new algorithm for the correspondence problem – is described. Exploiting processes proposed for computation of affineinvariant local frames, three point-to-point correspondences are found for each region-to-region correspondence. Consequently, it is sufficient to select only triplets of region correspondences in the hypothesis stage of epipolar geometry estimat...

Point cloud registration has a wide range of applications in 3D reconstruction, pose estimation, intelligent driving, heritage conservation, and digital cities. The traditional iterative closest point (ICP) algorithm strong dependence on the initial position, poor robustness, low timeliness. To address above issues, fast method that incorporates RGB image information is proposed. SIFT used to d...

Image registration is a manner of aligning two or more images the same scene which achieves maximum accuracy. Analysis geometric distortion, caused by difference in viewing angle, sensor resolution and distance. The critical step image collection feature points evaluate spatial transformation mainly when outliers are present. In our proposed framework we have used hybrid feature-based area-base...

In view of the insufficient characteristics and depth acquisition difficulties encountered in process uniocular vision measurement, posture measurement scheme tunneling equipment based on was proposed this study. The positioning coal mine monocular to extract environmental features match features, RANSAC algorithm used eliminate pair mismatching points. This done solve optimized matching realiz...

Geometric assumption and verification with RANSAC has become a crucial step for corresponding to local features due to its wide applications in biomedical feature analysis and vision computing. However, conventional RANSAC is very time-consuming due to redundant sampling times, especially dealing with the case of numerous matching pairs. This paper presents a novel preprocessing model to explor...

Correspondence matching is a fundamental problem in computer vision, having many uses in structure from motion, stereo vision, image registration, pose-estimation, and others. Today, a large amount of aerial imagery is available online via mapping services such as Google Maps. If we were to pick any pair of images from two different aerial views (see Figure 1 for an example), and perform SIFT-b...

In this paper, the classical RANSAC approach is considered for robust matching to remove mismatches (outliers) in a list of putative correspondences. We will examine the justification for using the minimal size of sample set in a RANSAC trial and propose that the size of the sample set should be varied dynamically depending on the noise and data set. Using larger sample set will not increase th...