Journal ArticleDOI
Image analysis and computer vision: 1999
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TLDR
A bibliography of nearly 1700 references related to computer vision and image analysis, arranged by subject matter is presented, including computational techniques; feature detection and segmentation; image and scene analysis; and motion.About:
This article is published in Computer Vision and Image Understanding.The article was published on 2000-05-01. It has received 39 citations till now. The article focuses on the topics: Feature detection (computer vision) & Feature (computer vision).read more
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Journal ArticleDOI
State of the art on automatic road extraction for GIS update: a novel classification
TL;DR: The state of the art on automatic road extraction for GIS update from aerial and satellite imagery is surveyed and a novel classification of road extraction methods according to the criteria is included in order to provide a significant contribution to research in this topic.
Journal ArticleDOI
Adaptive surface inspection via interactive evolution
TL;DR: The development of a rapidly reconfigurable system in which the users' tacit knowledge and requirements are elicited via a process of Interactive Evolution, finding the image processing parameters to achieve the required goals without any need for specialised knowledge of the machine vision system is described.
Journal ArticleDOI
Design of early fault detection technique for electrical assets using infrared thermograms
TL;DR: In this article, two systems, real-time and off-line, are proposed to monitor the temperature variations and analyze hot regions in the electrical assets using infrared thermograms, and a redness area based algorithm is also proposed to analyze the hot regions and also to estimate rate of change of hotness in electrical assets for early detection and prediction of faults.
Journal ArticleDOI
Vision-based localisation of mature apples in tree images using convexity
Eliyahu Kelman,Raphael Linker +1 more
TL;DR: In this article, a method for detecting apples in tree images using shape analysis is presented, where the core of the procedure consists of a so-termed convexity test that identifies edges that could correspond to 3D convex objects of a given size range from a much larger set of edges.
Proceedings ArticleDOI
A visual landmark recognition system for topological navigation of mobile robots
TL;DR: A search algorithm based on genetic techniques for pattern recognition in digital images is presented that allows the topologic localization of a mobile robot using natural and artificial landmarks.
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.
Proceedings ArticleDOI
Adaptive background mixture models for real-time tracking
Chris Stauffer,W.E.L. Grimson +1 more
TL;DR: This paper discusses modeling each pixel as a mixture of Gaussians and using an on-line approximation to update the model, resulting in a stable, real-time outdoor tracker which reliably deals with lighting changes, repetitive motions from clutter, and long-term scene changes.
Journal ArticleDOI
An overview of statistical learning theory
TL;DR: How the abstract learning theory established conditions for generalization which are more general than those discussed in classical statistical paradigms are demonstrated and how the understanding of these conditions inspired new algorithmic approaches to function estimation problems are demonstrated.
Proceedings ArticleDOI
A morphable model for the synthesis of 3D faces
Volker Blanz,Thomas Vetter +1 more
TL;DR: A new technique for modeling textured 3D faces by transforming the shape and texture of the examples into a vector space representation, which regulates the naturalness of modeled faces avoiding faces with an “unlikely” appearance.
Proceedings ArticleDOI
Fast approximate energy minimization via graph cuts
TL;DR: This paper proposes two algorithms that use graph cuts to compute a local minimum even when very large moves are allowed, and generates a labeling such that there is no expansion move that decreases the energy.