Proceedings ArticleDOI
Object recognition from local scale-invariant features
David G. Lowe
- Vol. 2, pp 1150-1157
Reads0
Chats0
TLDR
Experimental results show that robust object recognition can be achieved in cluttered partially occluded images with a computation time of under 2 seconds.Abstract:
An object recognition system has been developed that uses a new class of local image features. The features are invariant to image scaling, translation, and rotation, and partially invariant to illumination changes and affine or 3D projection. These features share similar properties with neurons in inferior temporal cortex that are used for object recognition in primate vision. Features are efficiently detected through a staged filtering approach that identifies stable points in scale space. Image keys are created that allow for local geometric deformations by representing blurred image gradients in multiple orientation planes and at multiple scales. The keys are used as input to a nearest neighbor indexing method that identifies candidate object matches. Final verification of each match is achieved by finding a low residual least squares solution for the unknown model parameters. Experimental results show that robust object recognition can be achieved in cluttered partially occluded images with a computation time of under 2 seconds.read more
Citations
More filters
Journal ArticleDOI
Scale Invariant Feature Transform
TL;DR: The SIFT descriptor has been proven to be very useful in practice for robust image matching and object recognition under real-world conditions and has also been extended from grey-level to colour images and from 2-D spatial images to 2+1-D spatio-temporal video.
Proceedings ArticleDOI
Tour the world: Building a web-scale landmark recognition engine
Yan-Tao Zheng,Ming Zhao,Yang Song,Hartwig Adam,Ulrich Buddemeier,Alessandro Bissacco,Fernando Brucher,Tat-Seng Chua,Hartmut Neven +8 more
TL;DR: This paper leverages the vast amount of multimedia data on the Web, the availability of an Internet image search engine, and advances in object recognition and clustering techniques, to address issues of modeling and recognizing landmarks at world-scale.
Journal ArticleDOI
Vehicle Detection Techniques for Collision Avoidance Systems: A Review
TL;DR: A comprehensive survey in a systematic approach about the state-of-the-art on-road vision-based vehicle detection and tracking systems for collision avoidance systems (CASs).
Journal ArticleDOI
Deep Multimodal Distance Metric Learning Using Click Constraints for Image Ranking
TL;DR: This paper develops a novel deep multimodal distance metric learning (Deep-MDML) method, which adopts a new ranking model to use multi-modal features, including click features and visual features in DML.
Journal ArticleDOI
A comprehensive survey of augmented reality assembly research
TL;DR: In this article, the authors provide a concise overview of the technical features, characteristics and broad range of applications of AR-based assembly systems published between 1990 and 2015, and they are considered as recent pertinent works which will be discussed in detail.
References
More filters
Journal ArticleDOI
Color indexing
Michael J. Swain,Dana H. Ballard +1 more
TL;DR: In this paper, color histograms of multicolored objects provide a robust, efficient cue for indexing into a large database of models, and they can differentiate among a large number of objects.
Journal ArticleDOI
Generalizing the hough transform to detect arbitrary shapes
TL;DR: It is shown how the boundaries of an arbitrary non-analytic shape can be used to construct a mapping between image space and Hough transform space, which makes the generalized Houghtransform a kind of universal transform which can beused to find arbitrarily complex shapes.
Journal ArticleDOI
Visual learning and recognition of 3-D objects from appearance
Hiroshi Murase,Shree K. Nayar +1 more
TL;DR: A near real-time recognition system with 20 complex objects in the database has been developed and a compact representation of object appearance is proposed that is parametrized by pose and illumination.
Journal ArticleDOI
Local grayvalue invariants for image retrieval
Cordelia Schmid,Roger Mohr +1 more
TL;DR: This paper addresses the problem of retrieving images from large image databases with a method based on local grayvalue invariants which are computed at automatically detected interest points and allows for efficient retrieval from a database of more than 1,000 images.
Journal ArticleDOI
A robust technique for matching two uncalibrated images through the recovery of the unknown epipolar geometry
TL;DR: A robust approach to image matching by exploiting the only available geometric constraint, namely, the epipolar constraint, is proposed and a new strategy for updating matches is developed, which only selects those matches having both high matching support and low matching ambiguity.