Atjaunināt sīkdatņu piekrišanu

E-grāmata: Image and Graphics Technologies and Applications: 15th Chinese Conference, IGTA 2020, Beijing, China, September 19, 2020, Revised Selected Papers

Edited by , Edited by , Edited by
Citas grāmatas par šo tēmu:
  • Formāts - EPUB+DRM
  • Cena: 53,52 €*
  • * ši ir gala cena, t.i., netiek piemērotas nekādas papildus atlaides
  • Ielikt grozā
  • Pievienot vēlmju sarakstam
  • Šī e-grāmata paredzēta tikai personīgai lietošanai. E-grāmatas nav iespējams atgriezt un nauda par iegādātajām e-grāmatām netiek atmaksāta.
Image and Graphics Technologies and Applications: 15th Chinese Conference, IGTA 2020, Beijing, China, September 19, 2020, Revised Selected PapersPalielināt
Citas grāmatas par šo tēmu:

DRM restrictions

  • Kopēšana (kopēt/ievietot):

    nav atļauts

  • Drukāšana:

    nav atļauts

  • Lietošana:

    Digitālo tiesību pārvaldība (Digital Rights Management (DRM))
    Izdevējs ir piegādājis šo grāmatu šifrētā veidā, kas nozīmē, ka jums ir jāinstalē bezmaksas programmatūra, lai to atbloķētu un lasītu. Lai lasītu šo e-grāmatu, jums ir jāizveido Adobe ID. Vairāk informācijas šeit. E-grāmatu var lasīt un lejupielādēt līdz 6 ierīcēm (vienam lietotājam ar vienu un to pašu Adobe ID).

    Nepieciešamā programmatūra
    Lai lasītu šo e-grāmatu mobilajā ierīcē (tālrunī vai planšetdatorā), jums būs jāinstalē šī bezmaksas lietotne: PocketBook Reader (iOS / Android)

    Lai lejupielādētu un lasītu šo e-grāmatu datorā vai Mac datorā, jums ir nepieciešamid Adobe Digital Editions (šī ir bezmaksas lietotne, kas īpaši izstrādāta e-grāmatām. Tā nav tas pats, kas Adobe Reader, kas, iespējams, jau ir jūsu datorā.)

    Jūs nevarat lasīt šo e-grāmatu, izmantojot Amazon Kindle.

This book constitutes the refereed proceedings of the 15th Conference on Image and Graphics Technologies and Applications, IGTA 2020, held in Beijing, China in September, 2020.*The 24 papers presented were carefully reviewed and selected from 115 submissions. They provide a forum for sharing progresses in the areas of image processing technology; image analysis and understanding; computer vision and pattern recognition; big data mining, computer graphics and VR, as well as image technology applications.





*The conference was held virtually due to the COVID-19 pandemic.
Image Processing and Enhancement Techniques.- Single Image
Super-resolution Based on Generative Adversarial Networks.- A Striping
Removal Method Based on Spectral Correlation in MODIS Data.- Multi-Modal 3-D
Medical Image Fusion Based on Tensor Robust Principal Component Analysis.-
Accurate Estimation of Motion Blur Kernel based on Genetic Algorithm.-
Biometric Identification Techniques.- Graph Embedding Discriminant Analysis
and Semi-supervised Extension for Face Recognition.- Fast and Accurate Face
Alignment Algorithm Based on Deep Knowledge Distillation.- Machine Vision and
3D Reconstruction.- 3D Human Reconstruction from a Single Image.- Image/Video
Big Data Analysis and Understanding.- Abnormal Crowd Behavior Detection based
on Movement Trajectory.- Full Convolutional Color Constancy with Attention.-
Simplifying Sketches with Conditional GAN.- Improved Method of Target
Tracking Based on SiamRPN.- An Improved Target Tracking Method Based on
DIMP.- Infrared Small Target Recognition with Improved Particle Filtering
Based on Feature Fusion.- Target Recognition Framework and Learning Mode
based on Parallel Images.-
Crowd Anomaly Scattering Detection based on Motion.rar.- Computer Graphics.-
View Consistent 3D Face Reconstruction Using Siamese Encoder-Decoders.- An
Angle-based Smoothing Method for Triangular and Tetrahedral Meshes.- Virtual
Reality and Human-Computer Interaction.- Rendering Method for Light-field
Near-eye Displays Based on Micro-structures with Arbitrary Distribution.-
AUIF: an Adaptive User Interface Framework for Multiple Devices.-
Applications of Image and Graphics.- Control and On-board Calibration Method
for In-situ Detection Using the Visible and Near-Infrared Imaging
Spectrometer on the Yutu-2 Rover.- Deep Attention Network for Remote Sensing
Scene Classification.- Thin Cloud Removal Using Cirrus Spectral Property for
Remote Sensing Images.- A Multi-line Image Difference Technique to Background
Suppression Based on Geometric Jitter Correction.- Other Research Works and
Surveys Related to the Applications of Image and Graphics Technology.- Image
Recognition Method of Defective Button Battery Base on Improved MobileNetV1.
Biežāk uzdotie jautājumi par e-grāmatām Biežāk uzdotie jautājumi par e-grāmatām
Permanent link: https://www.kriso.lv/db/97898133603346e.html