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19 relations: Augmented reality, Blob detection, Chessboard detection, Commercial augmented reality, Computer vision, Constellation model, Corner detection, COSFIRE, Feature (computer vision), Harris affine region detector, Hessian affine region detector, Histogram of oriented gradients, Mobile Robot Programming Toolkit, NumPy, Photosynth, Principal curvature-based region detector, Ridge detection, Scale space, Structure tensor.
Augmented reality
Augmented Reality (AR) is an interactive experience of a real-world environment whose elements are "augmented" by computer-generated perceptual information, sometimes across multiple sensory modalities, including visual, auditory, haptic, somatosensory, and olfactory.
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Blob detection
In computer vision, blob detection methods are aimed at detecting regions in a digital image that differ in properties, such as brightness or color, compared to surrounding regions.
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Chessboard detection
Chessboards arise frequently in computer vision theory and practice because their highly structured geometry is well-suited for algorithmic detection and processing.
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Commercial augmented reality
Commercial augmented reality (CAR) describes augmented reality (AR) applications that support various B2B and B2C commercial activities, particularly for retail industry across the globe.
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Computer vision
Computer vision is a field that deals with how computers can be made for gaining high-level understanding from digital images or videos.
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Constellation model
The constellation model is a probabilistic, generative model for category-level object recognition in computer vision.
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Corner detection
Corner detection is an approach used within computer vision systems to extract certain kinds of features and infer the contents of an image.
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COSFIRE
COSFIRE stands for Combination Of Shifted FIlter REsponses.
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Feature (computer vision)
In computer vision and image processing, a feature is a piece of information which is relevant for solving the computational task related to a certain application.
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Harris affine region detector
In the fields of computer vision and image analysis, the Harris affine region detector belongs to the category of feature detection.
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Hessian affine region detector
The Hessian affine region detector is a feature detector used in the fields of computer vision and image analysis.
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Histogram of oriented gradients
The histogram of oriented gradients (HOG) is a feature descriptor used in computer vision and image processing for the purpose of object detection.
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Mobile Robot Programming Toolkit
The Mobile Robot Programming Toolkit (MRPT) is a cross-platform and open source C++ library aimed to help robotics researchers to design and implement algorithms related to Simultaneous Localization and Mapping (SLAM), computer vision and motion planning (obstacle avoidance).
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NumPy
NumPy (pronounced or sometimes) is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.
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Photosynth
Photosynth is a discontinued app and service from Microsoft Live Labs and the University of Washington that analyzes digital photographs and generates a three-dimensional model of the photos and a point cloud of a photographed object.
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Principal curvature-based region detector
The principal curvature-based region detector, also called PCBR is a feature detector used in the fields of computer vision and image analysis.
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Ridge detection
Ridge detection is the attempt, via software, to locate ridges (or edges) in an image.
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Scale space
Scale-space theory is a framework for multi-scale signal representation developed by the computer vision, image processing and signal processing communities with complementary motivations from physics and biological vision.
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Structure tensor
In mathematics, the structure tensor, also referred to as the second-moment matrix, is a matrix derived from the gradient of a function.
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