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
A framework for partitioning and execution of data stream applications in mobile cloud computing
TL;DR: This work studies the computation partitioning, which aims at optimizing the partition of a data stream application between mobile and cloud such that the application has maximum speed/throughput in processing the streaming data.
Proceedings ArticleDOI
NeuFlow: A runtime reconfigurable dataflow processor for vision
TL;DR: A scalable dataflow hardware architecture optimized for the computation of general-purpose vision algorithms — neuFlow — and a dataflow compiler — luaFlow — that transforms high-level flow-graph representations of these algorithms into machine code for neu Flow are presented.
Proceedings ArticleDOI
Outdoors augmented reality on mobile phone using loxel-based visual feature organization
Gabriel Takacs,Vijay Chandrasekhar,Natasha Gelfand,Yingen Xiong,Wei-Chao Chen,Thanos Bismpigiannis,Radek Grzeszczuk,Kari Pulli,Bernd Girod +8 more
TL;DR: An outdoors augmented reality system for mobile phones that matches camera-phone images against a large database of location-tagged images using a robust image retrieval algorithm and shows a smart-phone implementation that achieves a high image matching rate while operating in near real-time.
Journal ArticleDOI
HOTS: A Hierarchy of Event-Based Time-Surfaces for Pattern Recognition
TL;DR: The central concept is to use the rich temporal information provided by events to create contexts in the form of time-surfaces which represent the recent temporal activity within a local spatial neighborhood and it is demonstrated that this concept can robustly be used at all stages of an event-based hierarchical model.
Journal ArticleDOI
A survey on face detection in the wild
TL;DR: The recent advances in real-world face detection techniques are surveyed, beginning with the seminal Viola-Jones face detector methodology and are roughly categorized into two general schemes: rigid templates, learned mainly via boosting based methods or by the application of deep neural networks, and deformable models that describe the face by its parts.
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.