Journal ArticleDOI
Distinctive Image Features from Scale-Invariant Keypoints
Reads0
Chats0
TLDR
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.Abstract:
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. The features are invariant to image scale and rotation, and are shown to provide robust matching across a substantial range of affine distortion, change in 3D viewpoint, addition of noise, and change in illumination. The features are highly distinctive, in the sense that a single feature can be correctly matched with high probability against a large database of features from many images. This paper also describes an approach to using these features for object recognition. The recognition proceeds by matching individual features to a database of features from known objects using a fast nearest-neighbor algorithm, followed by a Hough transform to identify clusters belonging to a single object, and finally performing verification through least-squares solution for consistent pose parameters. This approach to recognition can robustly identify objects among clutter and occlusion while achieving near real-time performance.read more
Citations
More filters
Journal ArticleDOI
Assessing the Accuracy of Georeferenced Point Clouds Produced via Multi-View Stereopsis from Unmanned Aerial Vehicle (UAV) Imagery
Steve Harwin,Arko Lucieer +1 more
TL;DR: It is concluded that sub-decimetre terrain change (in this case coastal erosion) can be monitored and UAV-based image capture provides the spatial and temporal resolution required to map and monitor natural landscapes.
Journal ArticleDOI
Development of a UAV-LiDAR System with Application to Forest Inventory
TL;DR: The development of a low-cost UAV-LiDAR system and an accompanying workflow to produce 3D point clouds and a novel trajectory determination algorithm fusing observations from a GPS receiver, an Inertial Measurement Unit and a High Definition (HD) video camera are presented.
Proceedings ArticleDOI
Learning The Discriminative Power-Invariance Trade-Off
Manik Varma,Debajyoti Ray +1 more
TL;DR: This paper investigates the problem of learning optimal descriptors for a given classification task using the kernel learning framework and learns the optimal, domain-specific kernel as a combination of base kernels corresponding to base features which achieve different levels of trade-off.
Journal ArticleDOI
Structure from Motion Photogrammetry in Physical Geography
TL;DR: The typical workflow applied by SfM-MVS software packages is detailed, practical details of implementing S fM- MVS are reviewed, existing validation studies to assess practically achievable data quality are combined, and the range of applications in physical geography are reviewed.
Journal ArticleDOI
A Comprehensive Survey of Deep Learning for Image Captioning
TL;DR: A comprehensive review of deep learning-based image captioning techniques can be found in this article, where the authors discuss the foundation of the techniques to analyze their performances, strengths, and limitations.
References
More filters
Proceedings ArticleDOI
Object recognition from local scale-invariant features
TL;DR: Experimental results show that robust object recognition can be achieved in cluttered partially occluded images with a computation time of under 2 seconds.
Book
Multiple view geometry in computer vision
Richard Hartley,Andrew Zisserman +1 more
TL;DR: In this article, the authors provide comprehensive background material and explain how to apply the methods and implement the algorithms directly in a unified framework, including geometric principles and how to represent objects algebraically so they can be computed and applied.
Multiple View Geometry in Computer Vision.
TL;DR: This book is referred to read because it is an inspiring book to give you more chance to get experiences and also thoughts and it will show the best book collections and completed collections.
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.
Journal ArticleDOI
Robust wide-baseline stereo from maximally stable extremal regions
TL;DR: The high utility of MSERs, multiple measurement regions and the robust metric is demonstrated in wide-baseline experiments on image pairs from both indoor and outdoor scenes.