Book ChapterDOI
CenSurE: Center Surround Extremas for Realtime Feature Detection and Matching
Motilal Agrawal,Kurt Konolige,Morten Rufus Blas +2 more
- pp 102-115
Reads0
Chats0
TLDR
A suite of scale-invariant center-surround detectors (CenSurE) that outperform the other detectors, yet have better computational characteristics than other scale-space detectors, and are capable of real-time implementation are introduced.Abstract:
We explore the suitability of different feature detectors for the task of image registration, and in particular for visual odometry, using two criteria: stability (persistence across viewpoint change) and accuracy (consistent localization across viewpoint change). In addition to the now-standard SIFT, SURF, FAST, and Harris detectors, we introduce a suite of scale-invariant center-surround detectors (CenSurE) that outperform the other detectors, yet have better computational characteristics than other scale-space detectors, and are capable of real-time implementation.read more
Citations
More filters
Visualization pipeline of autonomous driving scenes based on FCCR-3D reconstruction
Ling Bai,Yinguo Li,Zhongkui Zhou +2 more
TL;DR: A 3D reconstruction-based visualization pipeline for autonomous driving scenes of wide baseline that can meet the real-time3D reconstruction visualization of wide-baseline scenes, and has research value and application significance for the practical engineering of electronic images.
Real-time image processing on handheld devices and UAV
Daniel Persson,Joakim Andersson +1 more
TL;DR: In this paper, the use of unmanned aerial vehicles (UAVs) is used to estimate damages after a storm or assess its overall health in the forest industry, where the UAV can provide an up-to-date overview of certain areas of a forest.
Proceedings ArticleDOI
HD Ground - A Database for Ground Texture Based Localization
TL;DR: The HD Ground Database is presented, a comprehensive database for ground texture based localization that contains sequences of a variety of textures, obtained using a downward facing camera, and enables the first systematic study of how natural changes of the ground that occur over time affect localization performance.
Journal ArticleDOI
A Cuboid Bi-Level Log Operator for Action Classification
Kaibo Yao,Nong Sang,Changxin Gao +2 more
TL;DR: This work proposes a 3-D cuboid bi-level Laplacian-of-Gaussian (CBLoG) operator with high speed and invariant space–time scale for detecting abrupt changes of signals in videos and outperforms the state of the art tested on the KTH data set and achieves impressive performance on the UCF sports data set.
Book ChapterDOI
An Iterative Back-Projection Technique for Single Image Super Resolution with Natural Texture Preservation
Boniface M. Ngocho,Elijah Mwangi +1 more
TL;DR: A super resolution method that combines wavelet super resolution and an edge enhancing back-projection filter to produce a super resolution image with sharp edges and natural texture that is found to produce better results than bicubic interpolation and selected edge directed interpolation methods in terms of PSNR and SSIM.
References
More filters
Journal ArticleDOI
Distinctive Image Features from Scale-Invariant Keypoints
TL;DR: This paper presents a method for extracting distinctive invariant features from images that can be used to perform reliable matching between different views of an object or scene and can robustly identify objects among clutter and occlusion while achieving near real-time performance.
Journal ArticleDOI
Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography
TL;DR: New results are derived on the minimum number of landmarks needed to obtain a solution, and algorithms are presented for computing these minimum-landmark solutions in closed form that provide the basis for an automatic system that can solve the Location Determination Problem under difficult viewing.
Proceedings ArticleDOI
A Combined Corner and Edge Detector
Chris Harris,Mike Stephens +1 more
TL;DR: The problem the authors are addressing in Alvey Project MMI149 is that of using computer vision to understand the unconstrained 3D world, in which the viewed scenes will in general contain too wide a diversity of objects for topdown recognition techniques to work.
Book ChapterDOI
SURF: speeded up robust features
TL;DR: A novel scale- and rotation-invariant interest point detector and descriptor, coined SURF (Speeded Up Robust Features), which approximates or even outperforms previously proposed schemes with respect to repeatability, distinctiveness, and robustness, yet can be computed and compared much faster.
Proceedings ArticleDOI
Robust real-time face detection
Paul A. Viola,Michael Jones +1 more
TL;DR: A new image representation called the “Integral Image” is introduced which allows the features used by the detector to be computed very quickly and a method for combining classifiers in a “cascade” which allows background regions of the image to be quickly discarded while spending more computation on promising face-like regions.