Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 25 for “"RANSAC"”.
-
Using Random Sampling Consensus (RANSAC) to Detect Errors in Global Navigation Satellite Systems (GNSS) Signals and Data
… error reduction. The random sample consensus (RANSAC) method allows for the smoothing of data, even when there are a lot of gross errors present in the data set. The residuals from RANSAC and TDCP were studied to determine if they can be used to detect and identify error sources. A downsampling …
-
Geometric Verification of Image Copy Detection Results
… attempt to replace it with a method based on the RANSAC algorithm, which involves searching for an underlying transformation between the images that fits most of their matching interest points. After adding some improvements, using the RANSAC method resulted in fewer false negatives, without …
-
Searching patterns in painting images with computer vision techniques
… to classify and simplify these descriptors, and RANSAC to determine and detect good results. The method are good to find patterns of known images but not so good if they are not.
-
Multichannel source separation and tracking with phase differences by random sample consensus
… is clustered with the RANdom SAmple Consensus (RANSAC) algorithm in the presence of strong reverberation to simultaneously localize and separate speakers. The remarkable performance of RANSAC is due to its natural tendency to reject outliers. To handle the case of non-stationary speakers, a …
-
Automatic Alignment of 3D Multi-Sensor Point Clouds
… bipartite graph matching, followed by a modified-RANSAC for outlier removal. The second proposed method is based on 2D keypoint matching performed on height map images of the 3D point clouds. Height map images are generated by projecting the 3D point clouds onto a planimetric plane. Afterwards, a …
-
Automatic Extraction of Joint Characteristics from Rock Mass Surface Point Cloud Using Deep Learning
… planes using the Random Sample Consensus (RANSAC). Finally, the joint planes are classified into different joint sets, and the dip direction and dip angle for each set are calculated. The performance of the proposed methodology has been evaluated using a case study. The results show that …
-
Time-of-flight perception pipeline for selective green asparagus harvesting: Theory and application
… camera. Two plane detection methods, namely RANSAC and a modified version Hyun’s method (MHM) were investigated for this purpose. A detailed evaluation of the performance of each method on cluttered scenes revealed both RANSAC and MHM to be suitable for soil plane segmentation of asparagus …
-
Real-Time Implementation of Vision Algorithm for Control, Stabilization, and Target Tracking for a Hovering Micro-UAV
… detector, template matching feature correlator, RANSAC similarity-constrained homography, color segmentation, radial distortion correction, and an extended Kalman filter with a standard-deviation outlier rejection technique (SORT). This implementation was designed specifically for use as an …
-
Wide-area egomotion from omnidirectional video and coarse 3D structure
… to address the initialization problem using a RANSAC framework. In the maintenance phase, the system keeps track of the camera pose from frame to frame without any user interaction.
-
A feature-based fingerprinting scheme robust to desynchronization
… compare this method to an adapted version of RANSAC (Random Sample Consensus). The fingerprints are embedded securely and invisibly using Spread Transform Dither Modulation (STDM) applied to the intermediate level of a Laplace decomposition of the image. The fingerprints are robust against …
-
Registration and categorization of camera captured documents
… registration, like RANdom SAmple Consensus (RANSAC) and Thin Plate Spline-Robust Point Matching (TPS-RPM), to enable registration of cell phone and camera captured documents under non-rigid transformations. Three novel aspects are embedded into the methodology: (i) histogram based uniformly …
-
Outlier-Robust Multi-View Triangulation Using Graduated Non-Convexity for Space Vehicle Navigation
… current state-of-the-art outlier removal method RANSAC. We apply the robust multi-view triangulation solver to a simulated lunar landing trajectory and reported the variance of the returned 3D error to verify the accuracy of the estimate. This new technique of making current multi-view …
-
Simultaneous Three-Dimensional Mapping and Geolocation of Road Surface
… the images with a Random Sample and Consensus (RANSAC) algorithm. The proposed technique is tested in both simulation and field experiment, and compared with similar previous work. The results show that the proposed technique achieves better accuracy than conventional Extended Kalman Filter …
-
Uma proposta de metodologia para a extração semi-automática de formas arquitetônicas planas utilizando dados provenientes de laser escaner terrestre
… a metodologia proposta é baseado no algoritmo RANSAC (RANdom SAmple Consensus) e na triangulação de Delaunay. Os resultados obtidos com a metodologia proposta foram comparados com levantamentos topográficos realizados sobre as mesmas fachadas e os seus resultados avaliados através um teste …
-
Super-resolution image reconstruction from low-resolution images
… Propagation (BP) and Random Sampling Consensus (RANSAC) is described to automatically register the low-resolution images. The results have shown effective for the removal of the mismatched features in the image. A novel SVD-based image fusion for super-resolution is developed for integrating the …
-
On the utilization of Simultaneous Localization and Mapping(SLAM) along with vehicle dynamics in Mobile Road Mapping Systems
… algorithm, Random Sampling and Consensus (RANSAC), is developed in order to identify outliers in road surface measurements and estimate the road elevations at grid nodes using these measurements. The developed methods are validated in a simulated environment and the results demonstrate a …
-
Video-based motion detection for stationary and moving cameras
… (PF) block matching, motion filtering and RANSAC for robust matching. Once the frame to base frame homographies are available the flux tensor motion detection module using local second derivative information is applied to detect moving salient features. Spurious responses from the frame …
-
Detection and tracking of vanishing points in dynamic environments : Detección y seguimiento de puntos de fuga en entornos dinámicos
… estimation through optimization procedures. RANSAC (RANdom Sampling And Consensus) and the EM (Expectation-Maximization) algorithm are studied for initialization and refinement purposes, respectively. The results show that these proposals use the information of the images more efficiently and …
-
Obstacle and Change Detection Using RGB Cameras
… and FLANN based matcher, and filtered through RANSAC Homography estimation in threadpooling architecture for the dataset reduction and detec- tion. In machine learning based approach, features are extracted using four pre-trained CNN models such as MobileNetV3-large, EfficientNetB3, ResNet50, …
Page 1 of 2