We consider the problem of combining belief functions in a situation where pieces evidence are held by agents at node communication network, and each agent can only exchange information with its neighbors. Using concept weight evidence, we propose distributed implementations Dempster’s rule cautious based, respectively, on average maximum consensus algorithms. also describe procedures whereby a...

To reconstruct point geometry from multiple images, computation of the fundamental matrix is always necessary. With a new optimization criterion, i.e., re-projective 3D metric geometric distance rather than projective space under RANSAC (Random Sample And Consensus) framework, our method can reveal quality visually through reconstruction. The projection error points to corresponding image pixel...

The geometric properties of rock mass discontinuities are essential for the evaluation safety masses. Numerous studies have recently been performed on extraction discontinuity information. However, most methods characterized by poor data collection and processing efficiency. This paper presents a UAV-based methodology accurate complete acquisition surface data, as well automatic Moreover, progr...

A new feature description method based on the fusion of fast retina keypoint (FREAK) and rotation-aware binary robust independent elementary features (rRBRIEF) is proposed to realize effective combination efficiency accuracy two descriptions. In addition, in elimination stage mismatched point pairs, by setting base its neighborhood, an improved neighborhood parallel random sample consensus (RAN...

MOTIVATION Structural information of macromolecular complexes provides key insights into the way they carry out their biological functions. The reconstruction process leading to the final 3D map requires an approximate initial model. Generation of an initial model is still an open and challenging problem in single-particle analysis. RESULTS We present a fast and efficient approach to obtain a...

Video panoramic image stitching is extremely time-consuming among other challenges. We present a new algorithm: (i) Improved, self-adaptive selection of Harris corners. The successful stitching relies heavily on the accuracy of corner selection. We fragment each image into numerous regions and select corners within each region according to the normalized variance of region grayscales. Such a se...

Robust egomotion estimation is a key prerequisite for making a robot truly autonomous. In previous work, a multimodel extension of random sample consensus (RANSAC) was introduced to deal with environments with rapid changes by incorporating moving object information. A multiscale matching algorithm was also proposed to resolve the issue of imperfect segmentation. In this paper, we present a nov...

We present a novel method for tracking multiple objects in video captured by a non-stationary camera. For low quality video, ransac estimation fails when the number of good matches shrinks below the minimum required to estimate the motion model. This paper extends ransac in the following ways: (a) Allowing multiple models of different complexity to be chosen at random; (b) Introducing a conditi...

To address the long-term statistical problem of ski-track area in construction and operation ski resorts, we propose a new point cloud boundary extraction method that improves accuracy minimizes offset error. In this method, all clouds are first projected onto fitting plane using random sample consensus (RANSAC) method. An improved algorithm is used to triangulate extract high-precision boundar...

A new enhancement of RANSAC, the locally optimized RANSAC (LO-RANSAC), is introduced. It has been observed that, to find an optimal solution (with a given probability), the number of samples drawn in RANSAC is significantly higher than predicted from the mathematical model. This is due to the incorrect assumption, that a model with parameters computed from an outlier-free sample is consistent w...