Journal Article10.1109/TPAMI.1987.4767935
Localizing Overlapping Parts by Searching the Interpretation Tree
TL;DR: The approach operates by examining all hypotheses about pairings between sensed data and object surfaces and efficiently discarding inconsistent ones by using local constraints on distances between faces, angles between face normals, and angles of vectors between sensed points.
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Abstract: This paper discusses how local measurements of positions and surface normals may be used to identify and locate overlapping objects. The objects are modeled as polyhedra (or polygons) having up to six degrees of positional freedom relative to the sensors. The approach operates by examining all hypotheses about pairings between sensed data and object surfaces and efficiently discarding inconsistent ones by using local constraints on: distances between faces, angles between face normals, and angles (relative to the surface normals) of vectors between sensed points. The method described here is an extension of a method for recognition and localization of nonoverlapping parts previously described in [18] and [15].
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Citations
Point pattern matching for 2-D point sets with regular structure
Tapio Manninen,Risto Rönkkä,Heikki Huttunen +2 more
- 01 May 2011
TL;DR: This paper discusses of an existing algorithm, which is optimal in the sense of brute force testing of different point pairings, and proposes a parameter choosing scheme that minimizes the memory consumption of the algorithm.
Analysing and reducing the cost of exhaustive correspondence search
TL;DR: From this develops methods that reduce the number of interpretations tested to less than (number of scene features) 2, so that correspondence search is viable in scenes of this size and larger.
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Robust Object Detection and Tracking Using Sift Algorithm
Shweta Yakkali,Vishakha Nara,Neelam Tikone,Darshan Ingle +3 more
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TL;DR: This paper shows the detection and tracking of unknown objects in a live camera feed using the SIFT Algorithm with different phases such as scale space extreme detection, key point localization.
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Enhanced 3D representation using a hybrid model
N. Ayoung-Chee,Gregory Dudek,Frank P. Ferrie +2 more
- 25 Aug 1996
TL;DR: The approach presented here attempts to address the problem of generic 3D shape modelling for the purposes of object recognition by building a composite representation of the data in terms of a superquadric augmented with multi-scale surface models.
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Locating Overlapping Flexible Shapes Using Geometrical Constraints
D. H. Cooper,Christopher J. Taylor,Jim Graham,Timothy F. Cootes +3 more
- 01 Jan 1991
TL;DR: In this paper, a shape representation called the chord length distribution (CLD) is proposed to capture shape variability and complements an object location method using belief updating which integrates low-level evidence and shape constraints.
References
Theory of Edge Detection
David Marr,Ellen C. Hildreth +1 more
TL;DR: The theory of edge detection explains several basic psychophysical findings, and the operation of forming oriented zero-crossing segments from the output of centre-surround ∇2G filters acting on the image forms the basis for a physiological model of simple cells.
7.3K
•Journal Article
Computer vision
TL;DR: How the field of computer (and robot) vision has evolved, particularly over the past 20 years, is described, and its central methodological paradigms are introduced.
4K
Consistency in Networks of Relations
TL;DR: The primary aim is to provide an accessible, unified framework, within which to present the algorithms including a new path consistency algorithm, to discuss their relationships and the may applications, both realized and potential of network consistency algorithms.
2.8K
Understanding Line drawings of Scenes with Shadows
David L. Waltz
- 01 Jan 1975
TL;DR: A detailed discussion of the standard approach to computer interpretation of line drawings as three-dimensional scenes as well as some alternative approaches to this approach are discussed.
1.2K
Three-dimensional object recognition
Paul J. Besl,Ramesh Jain +1 more
TL;DR: In this paper, a precise definition of the 3D object recognition problem is proposed, and basic concepts associated with this problem are discussed, and a review of relevant literature is provided.
1.2K