Learning OpenCV : computer vision with the OpenCV library /

Learning OpenCV : computer vision with the OpenCV library /

Xehetasun bibliografikoak
Egile nagusia:	Bradski, Gary R.
Beste egile batzuk:	Kaehler, Adrian
Formatua:	Liburua
Hizkuntza:	English
Argitaratua:	Sebastopol, CA : New Delhi : O'Reilly ; Shroff Publishers and Distributors, c2008 [third Indian reprinted 2011].
Edizioa:	First edition.
Gaiak:	Computer vision.
Classic Catalogue:	View this record in Classic Catalogue

Antzeko izenburuak

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OpenCV 2 computer vision application programming cookbook : over 50 recipes to master this library of programming functions for real-time computer vision /
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Computer vision : a modern approach /
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Argitaratua: (2003)

Machine vision /
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Computer vision : a modern approach /
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Argitaratua: (2008)

Multiple view geometry in computer vision /
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An efficient handwritten Bangla character recognition system using computer vision and natural language processing
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Handbook of mathematical models in computer vision /
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Overall activities and customer satisfaction level of vision Capital Management Limited
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Argitaratua: (2017)

Detecting different stages of Alzheimer’s disease from MRI images using deep learning and computer vision techniques
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Argitaratua: (2024)

Detection of Deepfake using computer vision and deep learning
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Argitaratua: (2023)

Impact of reward system on employee satisfaction of Vision Tex Co.
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Argitaratua: (2018)

Computer vision : algorithms and applications /
nork: Szeliski, Richard, 1958-
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An efficient way to convert 1D signal to 2D digital image using energy values
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Cognitive load detection of vision impaired in the inward places using Bio-signal
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Argitaratua: (2020)

Automatic detection of defective rail anchors
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Argitaratua: (2017)

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A color vision approach for reconstructing color images in different lighting conditions based on auto encoder technique using deep neural networks
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Argitaratua: (2021)

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Argitaratua: (2023)

Vision Transformer (ViT) approach in computer aided diagnosis of acute lymphoblastic leukemia
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Argitaratua: (2016)

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Analysis of deep learning models on low-light pest detection
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A color vision approach considering weather conditions based on auto encoder techniques using deep neural networks
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Argitaratua: (2021)

An implementation and analysis of deep learning models for the detection of wheat diseases
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Argitaratua: (2024)

Introductory techniques for 3-D computer vision /
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Analyzing CV/resume using natural language processing and machine learning
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A color vision approach based on the autoencoder technique and deep neural networks for reconstructing color images under various lighting conditions
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