Journal ArticleDOI
Distinctive Image Features from Scale-Invariant Keypoints
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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
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Journal ArticleDOI
Keypoint Detection and Local Feature Matching for Textured 3D Face Recognition
TL;DR: A novel keypoint detection technique is proposed which can repeatably identify keypoints at locations where shape variation is high in 3D faces and a unique 3D coordinate basis can be defined locally at each keypoint facilitating the extraction of highly descriptive pose invariant features.
Journal ArticleDOI
An interactive approach to semantic modeling of indoor scenes with an RGBD camera
TL;DR: An interactive approach to semantic modeling of indoor scenes with a consumer-level RGBD camera, which takes an RGBD image of an indoor scene, which is automatically segmented into a set of regions with semantic labels.
Journal ArticleDOI
Point Cloud Generation from Aerial Image Data Acquired by a Quadrocopter Type Micro Unmanned Aerial Vehicle and a Digital Still Camera
Tomi Rosnell,Eija Honkavaara +1 more
TL;DR: Recommendations for properties of imaging sensor, data collection and processing of UAV image data to ensure accurate point cloud generation are given.
Journal ArticleDOI
State of research in automatic as-built modelling
TL;DR: Relevant works from the Computer Vision, Geometry Processing, and Civil Engineering communities are presented and compared in terms of their potential to lead to automatic as-built modelling.
Journal ArticleDOI
A New Deep Learning-Based Food Recognition System for Dietary Assessment on An Edge Computing Service Infrastructure
Chang Liu,Yu Cao,Yan Luo,Guanling Chen,Vinod M. Vokkarane,Ma Yunsheng,Songqing Chen,Peng Hou +7 more
TL;DR: The aim is to develop novel deep learning-based visual food recognition algorithms to achieve the best-in-class recognition accuracy and to design a food recognition system employing edge computing-based service computing paradigm to overcome some inherent problems of traditional mobile cloud computing paradigm.
References
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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.