Histograms as features for computer vision systems
Holistic Optimization of Embedded Computer Vision Systems
... the vision pipeline looked like Figure ...slower vision frame-rates than could otherwise be ...spatial features, to reducing the total volume of data which needs to be processed per ...embedded ...
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The Big Data methodology in computer vision systems
... data features, combining different data sources, filtering for domains of interest, selecting relevant features and outcomes for modeling, and exporting sets of distilled data to a local data ...
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Edge-Computing Deep Learning-Based Computer Vision Systems
... of computer vision (image classification, in general) is AlexNet [25] created by Alex Krizhevsky while working under Geoffrey ...out features that are not needed ...
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Computer vision for lifelogging
... video) features as a basis for building classifiers for individual content ...colour histograms, dominant colours, textures, and shapes from entire images and also from localised areas within ...level ...
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AdaBoost in Computer Vision
... The contemporary state of the art real-time object detection classifiers are modifications of cascade 1 of boosted 2 decision trees or decision stumps 3 based on Haar-like features 4 . Such classifiers benefit ...
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Combining Features and Semantics for Low-level Computer Vision
... Michael Black, and Prof. Andreas Schilling for agreeing to be in my committee and for evaluating my work. I am very grateful for all the opportunities and experience Max Planck Institute has provided me, but most of all, ...
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Computer vision as a substitute for human vision. New Opportunities for Computer Vision Based Assistive Technology Systems for the Visually Impaired
... this information to the user through a glove with 14 small vibratory motors in the fingers. Deciding on the degree and type of user feedback is a major design challenge because a large percentage of information about a ...
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Computer Vision
... Some systems are stand-alone applications which solve a specific measurement or detection problem, while others constitute a sub-system of a larger design which, for example, also contains sub-systems for ...
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Electronic Systems with High Energy Efficiency for Embedded Computer Vision
... bringing computer vision to embedded ...are computer vision systems whose results are not expected to be produced in few millisec- onds but images or videos can be elaborated in ...
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Novel robust computer vision algorithms for micro autonomous systems
... the systems that can operate in com- plex environments based on on-board sensors, without relying on external reference system like GPS, has been a major research focus in the robotics community over the last ...
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Towards Engineering Computer Vision Systems: From the Web to FPGAs
... in Computer Science University of California, Irvine, 2019 Professor Alexandru Nicolau, Chair Computer vision is an interdisciplinary field to obtain high-level understanding from digital ...However, ...
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Discrete Cosine Coefficients as Images Features for Fire Detection based on Computer Vision
... fires, Computer Vision-based approaches are becoming more and more ...and computer algorithms to analyze the visible effects of fire and its motion in their ...
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JavaVis: An Integrated Computer Vision Library for Teaching Computer Vision
... JVT provides implementations for image ‐handling filtering, edge detection, segmentation, Hough transform, morphology, and color analysis. It also includes a GUI application, which makes JVT easy to use for end ‐users and ...
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A PREAMBLE TO COMPUTER VISION
... ABSTRACT Computer Field is rapidly developing with new technologies day by ...is Computer Vision that is concerned with the theory and technology for building artificial system that obtain ...
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Computer Vision Metrics
... a vision taxonomy is suggested in Chapter 5, and local feature description is covered in Chapter ...hypothetical vision pipelines and hypothetical optimizations from an engineering perspective, as a set of ...
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Feast for the Eyes: Effects of Food Perceptions and Computer Vision Features on Food Photo Popularity
... visual features, such as the use of arousing colors and different components of visual complexity, also influenced the popularity of food ...applying computer vision methods in visual analysis, ...
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Computer vision-based apple grading for golden delicious apples based on surface features
... In this paper, a computer vision-based algorithm for golden delicious apple grading is pro- posed which works in six steps. Non-apple pixels as background are firstly removed from input images. Then, stem ...
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Anatomical features of Fagaceae wood statistically extracted by computer vision approaches: Some relationships with evolution.
... two computer vision approaches to optical micrographs: the scale-invariant feature transform algorithm and connected-compo- nent ...the features, the closeness of some taxonomic groups is ...
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Using Real Time Computer Vision Algorithms in Automatic Attendance Management Systems
... [email protected] 1 , [email protected] 2 Abstract . This paper introduces a new approach in automatic attendance management systems, extended with computer vision algorithms. We propose using ...
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