An Affine Invariant Interest Point Detector
Lecture notes in computer sciencePublished 1 January 2002Open access
Krystian Mikolajczyk, Cordelia Schmid
Citations1,300
Generate an AI Snapshot to get a quick, structured summary of this paper.
Study Snapshot
ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
ResultsStudy results comes here
LimitationsResearch study limitations comes here
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
TL;DR
A novel approach for detecting affine invariant interest points that can deal with significant affine transformations including large scale changes and shows an excellent performance in the presence of large perspective transformations including significant scale changes.
Abstract
International audience
Keywords
Computer ScienceEngineering
Object recognition from local scale-invariant features
16,195 Citations1999David Lowe
Experimental results show that robust object recognition can be achieved in cluttered partially occluded images with a computation time of under 2 seconds.
A Combined Corner and Edge Detector
12,478 Citations1988Chris Harris, Matthew J. Stephens
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.
IEEE Transactions on Pattern Analysis and Machine IntelligenceThe design and use of steerable filters
2,934 Citations1991William T. Freeman, Edward H. Adelson
The authors present an efficient architecture to synthesize filters of arbitrary orientations from linear combinations of basis filters, allowing one to adaptively steer a filter to any orientation, and to determine analytically the filter output as a function of orientation.
International Journal of Computer VisionFeature Detection with Automatic Scale Selection
2,487 Citations1998Tony Lindeberg
It is shown how the proposed methodology applies to the problems of blob detection, junction detection, edge detection, ridge detection and local frequency estimation and how it can be used as a major mechanism in algorithms for automatic scale selection, which adapt the local scales of processing to the local image structure.
Scale-Space Theory in Computer Vision
2,148 Citations1994Tony Lindeberg
IEEE Transactions on Pattern Analysis and Machine IntelligenceLocal grayvalue invariants for image retrieval
1,426 Citations1997C. Schmid, Roger Mohr
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.
Indexing based on scale invariant interest points
1,090 Citations2002Krystian Mikolajczyk, C. Schmid
The method is based on two recent results on scale space: interest points can be adapted to scale and give repeatable results (geometrically stable) and local extrema over scale of normalized derivatives indicate the presence of characteristic local structures.
Reliable feature matching across widely separated views
624 Citations2002Adam Baumberg
A robust method for automatically matching features in images corresponding to the same physical point on an object seen from two arbitrary viewpoints that is optimised for a structure-from-motion application where it wishes to ignore unreliable matches at the expense of reducing the number of feature matches.
Wide Baseline Stereo Matching based on Local, Affinely Invariant Regions
448 Citations2000Tinne Tuytelaars, Luc Van Gool
This work presents an alternative method for extracting invariant regions that does not depend on the presence of edges or corners in the image but is purely intensity-based, and demonstrates the use of such regions for another application, which is wide baseline stereo matching.
Wide baseline stereo matching
275 Citations2002P. Pritchett, Andrew Zisserman
The objective of this work is to enlarge the class of camera motions for which epipolar geometry and image correspondences can be computed automatically, and to facilitate matching between quite disparate views-wide baseline stereo.
Image and Vision ComputingShape-adapted smoothing in estimation of 3-D shape cues from affine deformations of local 2-D brightness structure
264 Citations1997Tony Lindeberg, Jonas Gårding
A general class of methods for deriving 3-D shape cues from a 2-D image data based on the estimation of locally linearized deformations of brightness patterns, which constitutes a common framework for describing several problems in computer vision.
Viewpoint invariant texture matching and wide baseline stereo
192 Citations2002F. Schaffalitzky, Andrew Zisserman
A texture region descriptor is described and demonstrated which is invariant to affine geometric and photometric transformations, and insensitive to the shape of the texture region, resulting in richer and more stable descriptors than those computed at a point.
Matching images with different resolutions
142 Citations2002Yves Dufournaud, C. Schmid +1 more
This paper shows how to extract interest points at variable scales and devise a method allowing the comparison of two images at two different resolutions, which comprises the use of photometric- and rotation-invariant descriptors, a geometric model mapping the high-resolution image onto a low- resolution image region, and an image matching strategy based on the robust estimation of this geometric model.
IEEE Transactions on Image ProcessingFingerprint enhancement by shape adaptation of scale-space operators with automatic scale selection
119 Citations2000Tony Lindeberg, Andrés Almansa
This work presents two mechanisms for processing fingerprint images; shape-adapted smoothing based on second moment descriptors and automatic scale selection based on normalized derivatives, which makes it possible to resolve fine scale structures in clear areas while reducing the risk of enhancing noise in blurred or fragmented areas.
International Journal of Computer VisionGeometric Information Criterion for Model Selection
112 Citations1998Kenichi Kanatani
This paper presents a statistical framework for detecting degeneracies of a geometric model by evaluating its predictive capability in terms of the expected residual and derive the geometric AIC, which allows us to detect singularities in a structure-from-motion analysis without introducing any empirically adjustable thresholds.
Fingerprint enhancement by shape adaptation of scale-space operators with automatic scale selection
100 Citations2000AlmansaA., LindebergT.
Lecture notes in computer scienceWide Baseline Point Matching Using Affine Invariants Computed from Intensity Profiles
94 Citations2000Dennis Tell, Stefan Carlsson
An algorithm which is capable of handling larger changes in viewpoint than classical correlation based techniques is proposed, which works by computing affinely invariant fourier features from intensity profiles in each image.
