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:
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
3D model matching with Viewpoint-Invariant Patches (VIP)
TL;DR: This paper demonstrates how to use the properties of the VIPs in an efficient matching scheme for 3D scene alignment and evaluates the novel features on real data with known ground truth information and shows that the features can be used to reconstruct large scale urban scenes.
Journal ArticleDOI
Autophagy initiation by ULK complex assembly on ER tubulovesicular regions marked by ATG9 vesicles
Eleftherios Karanasios,Simon Walker,Hanneke Okkenhaug,Maria Manifava,Eric Hummel,Hans Zimmermann,Qashif Ahmed,Marie-Charlotte Domart,Lucy M. Collinson,Nicholas T. Ktistakis +9 more
TL;DR: It is proposed that the nucleation of autophagosomes occurs in regions, where the ULK1 complex coalesces with ER and the ATG9 compartment and its formation requires ER exit and coatomer function.
Proceedings ArticleDOI
Learning Grounded Meaning Representations with Autoencoders
Carina Silberer,Mirella Lapata +1 more
TL;DR: A new model is introduced which uses stacked autoencoders to learn higher-level embeddings from textual and visual input and which outperforms baselines and related models on similarity judgments and concept categorization.
Journal ArticleDOI
The Inverted Multi-Index
Artem Babenko,Victor Lempitsky +1 more
TL;DR: Inverted multi-indices were able to significantly improve the speed of approximate nearest neighbor search on the dataset of 1 billion SIFT vectors compared to the best previously published systems, while achieving better recall and incurring only few percent of memory overhead.
Proceedings ArticleDOI
Learning image representations from the pixel level via hierarchical sparse coding
TL;DR: The algorithm gives excellent results for hand-written digit recognition on MNIST and object recognition on the Caltech101 benchmark, marking the first time that such accuracies have been achieved using automatically learned features from the pixel level, rather than using hand-designed descriptors.
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.