Journal ArticleDOI
Distinctive Image Features from Scale-Invariant Keypoints
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:Ā
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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Proceedings ArticleDOI
Parallax-Tolerant Image Stitching
Fan Zhang,Feng Liu +1 more
TL;DR: This paper presents a local stitching method to handle parallax based on the observation that input images do not need to be perfectly aligned over the whole overlapping region for stitching, and develops a seam finding method that estimates a plausible seam from only roughly aligned images by considering both geometric alignment and image content.
Proceedings ArticleDOI
CAD-model recognition and 6DOF pose estimation using 3D cues
Aitor Aldoma,Markus Vincze,Nico Blodow,David Gossow,Suat Gedikli,Radu Bogdan Rusu,Gary Bradski +6 more
TL;DR: The Clustered Viewpoint Feature Histogram (CVFH) is described and it is shown that it can be effectively used to recognize objects and 6DOF pose in real environments dealing with partial occlusion, noise and different sensors atributes for training and recognition data.
Proceedings ArticleDOI
Image Retrieval for Image-Based Localization Revisited.
TL;DR: It is shown that retrieval methods using a selective voting scheme are able to outperform state-of-the-art direct matching methods and how both selective voting and correspondence computation can be accelerated by using a Hamming embedding of feature descriptors.
Journal ArticleDOI
Joint Feature Selection and Subspace Learning for Cross-Modal Retrieval
TL;DR: An iterative algorithm is presented to solve the proposed joint learning problem, along with its convergence analysis, and Experimental results on cross-modal retrieval tasks demonstrate that the proposed method outperforms the state-of-the-art subspace approaches.
Proceedings ArticleDOI
Large displacement optical flow
TL;DR: This paper proposes a method that can combine the advantages of both matching strategies and provides dense and subpixel accurate estimates, making use of geometric constraints and all available image information.
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.