Previous missions have imaged active plumes at Io and Enceladus, as well as outgassing by cometary nuclei. It is often difficult to predict where and when these transient events will occur, so characterizing them requires collecting long image sequences with many redundant frames. This demands a prohibitive fraction of the spacecraft’s limited cache and bandwidth, and precludes sustained survey...

In many applications it is necessary to describe some experimental data with one ore more geometric models. A naive approach to find multiple models consists on the sequential application of a robust regression estimator, such as RANSAC [2], and removing inliers each time that a model instance was detected. The quality of the final result in the sequential approach depends strongly on the order...

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...

A method called σ-consensus is proposed to eliminate the need for a user-defined inlier-outlier threshold in RANSAC. Instead of estimating σ, it is marginalized over a range of noise scales using a Bayesian estimator, i.e. the optimized model is obtained as the weighted average using the posterior probabilities as weights. Applying σ-consensus, two methods are proposed: (i) a postprocessing ste...

In the fields of wind tunnel measurement and aerospace, real-time pose information aircraft is an important index. this paper, we propose a large-scale estimation system, in which depth cameras are used to scan entire model multiple directions. Using principal component analysis (PCA) featuring vectors as target coordinate system through transformation matrix for point cloud calibration aircraf...

A calibration-free augmented reality based on affine invariant is firstly formulated by tensor method. This approach does not use the calibration parameters of the camera and the 3D locations of the environment’s object, and can realize the augmentation of virtual objects. Meanwhile, a new approach to resolving occlusion problem in augmented reality is presented. Based on an armoptimized implem...

This paper presents a comparative study of performance for four wavelet-based multiresolution image registration techniques. The proposed algorithms are implemented and applied to dental panoramic X-ray images and magnetic resonance (MR) images of the brain. Cross-correlation based registration, mutualinformation (MI) based hierarchical registration, scale invariant feature transform (SIFT) bas...

In this paper we present a concept for the reconstruction of composite objects from LIDAR 3D point clouds with focus on symmetric and partly recursive structures. The concept is top-down and bases on a generative model given by an attribute grammar. It uses the well known random sample consensus paradigm for model selection. The attribute grammars formalism is used for the modeling of 3D object...

This paper presents an automated and effective method for detecting 3D edges and tracing feature lines from 3D-point clouds. This method is named Analysis of Geometric Properties of Neighborhoods (AGPN), and it includes two main steps: edge detection and feature line tracing. In the edge detection step, AGPN analyzes geometric properties of each query point’s neighborhood, and then combines RAN...

Approaches to visual navigation, e.g. used in robotics, require computationally efficient, numerically stable, and robust methods for the estimation of ego-motion. One of the main problems for egomotion estimation is the segregation of the translational and rotational component of ego-motion in order to utilize the translation component, e.g. for computing spatial navigation direction. Most of ...