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 11 of 11 for “"interest point"”.
-
Organising and structuring a visual diary using visual interest point detectors
… detection based on the extraction of visual interest point detectors from the images. We also analyse the performance of two of the most popular descriptors - Scale Invariant Feature Transform (SIFT) and Speeded Up Robust Features (SURF).We present an implementation of a Visual Diary …
-
A Multimodal Biometric Authentication for Smartphones
… efficient feature detection algorithm (Vascular Point Detector) for identifying interest points on images garnered from both rear and front facing camera has been developed. It was observed that the retention ratio of VPD for final similarity score calculation was at least 10% higher than state …
-
From interest points to map transformation: a discussion of RGB-D SLAM and its applications
… It focuses primarily on the use of different interest point detectors, their descriptor extractors, and their matchers in the estimation of pairwise alignment of frames captured using such a sensor. Such estimates give the initial pose estimate of each frame. They are encoded as edge …
-
On learning from videos/
… for the video and observe only the region of interest. Inspired by the idea that spatio-temporal interest point (STIP) detector may give meaningful points such as the contact point between the tool and the part, we design a new method of detecting STIPs based on optical flow. We also design a …
-
Deep Convolutional Neural Networks Based Single Image Super-Resolution And Classification For Crater Detection
… we propose two novel HG algorithms based on interest point detection and convex grouping and compare their performance with previous methods. To deal with different size craters, we employ a multiscale HG approach. We also investigate the robustness of an extensive set of HV algorithms in the …
-
Modeling Objects Using Interest Points, Edges, and Regions
… models to represent object categories using interest points, edges, and regions. For interest points, a part based generate object template is proposed, which models object categories as a joint occurrence of appearance and location of texture patches around interest points. The model makes …
-
Robust Feature Tracking in Image Sequences Using View Geometric Constraints
In computer vision, interest point tracking across an image sequence is a fundamental technique for determining motion characteristics. Once motion is extracted it can be applied to a wide array of other practical applications, including but not limited to automated surveillance, three-dimensional …
-
User-Centric Power Management For Mobile Operating Systems
<p>The power consumption of mobile devices must be carefully managed to provide a satisfied battery life to users. This target, however, recently has become more and more difficult to complete. We still cannot expect the battery life problem be solved economically shortly, even though researchers …
-
Natural scene classification, annotation and retrieval. Developing different approaches for semantic scene modelling based on Bag of Visual Words.
… based on local invariant features computed at interest point locations has become a standard choice for many computer vision tasks. Based on this promising model, this thesis investigates three main problems: natural scene classification, annotation and retrieval. Given an image, the task is to …
-
Human and Animal Behavior Understanding
… We first present an evaluation of spatiotemporal interest point features (STIPs) for depth-based human action recognition, and then propose a framework call TriViews for 3D human action recognition with RGB-D data. Finally, we investigate a new approach for animal behavior recognition based on …
-
Large databases of real and synthetic images for feature evaluation and prediction
… in images both locally, using a patch around an interest point, and globally, over the entire image. Image features need to be distinctive and robust toward variations in scene content, camera viewpoint and illumination conditions. Common tasks are matching local features across images and …