full screen
Home > General > Pattern Recognition and Computer Vision
Pattern Recognition and Computer Vision

Pattern Recognition and Computer Vision


     0     
5
4
3
2
1



International Edition


About the Book

Computer Vision, Theories and Applications.- Dynamic Fusion Network For Light Field Depth Estimation.- Metric Calibration of Aerial on-board Multiple Non-overlapping Cameras based on Visual and Inertial Measurement Data.- SEINet: Semantic-Edge Interaction Network for Image Manipulation Localization.- Video-Based Reconstruction of Smooth 3D Human Body Motion.- A Unified Modular Framework with Deep Graph Convolutional Networks for Multi-Label Image Recognition.- 3D Correspondence Grouping with Compatibility Features.- Contour-Aware Panoptic Segmentation Network.- VGG-CAE: Unsupervised Visual Place Recognition Using VGG16-based Convolutional Autoencoder.- Slice Sequential Network: A Lightweight Unsupervised Point Cloud Completion Network.- From Digital Model to Reality Application: A Domain Adaptation Method for Rail Defect Detection.- FMixAugment for Semi-Supervised Learning with Consistency Regularization.- IDANet: Iterative D-LinkNets with Attention for Road Extraction from High-resolution Satellite Imagery.- Disentangling Deep Network for Reconstructing 3D Object Shapes from Single 2D Images.- AnchorConv: Anchor Convolution for Point Clouds Analysis.- IFR: Iterative Fusion Based Recognizer For Low Quality Scene Text Recognition.- Immersive Traditional Chinese Portrait Painting: Research on Style Transfer and Face Replacement.- Multi-camera extrinsic auto-calibration using pedestrians in occluded environments.- Dual-Layer Barcodes.- Graph Matching based Robust Line Segment Correspondence for Active Camera Relocalization.- Unsupervised learning framework for 3D reconstruction from face sketch.- HEI-Human: A Hybrid Explicit and Implicit Method for Single-view 3D Clothed Human Reconstruction.- A Point Cloud Generative Model via Tree-Structured Graph Convolutions for 3D Brain Shape Reconstruction.- 3D-SceneCaptioner: Visual Scene Captioning Network for Three-Dimensional Point Clouds.- Soccer Field Registration Based on Geometric Constraint and Deep Learning Method.- Enhancing Latent Features for Unsupervised Video Anomaly Detection.- Adaptive Anomaly Detection Network for Unseen Scene Without Fine-tuning.- Facial Expression Recognition Based on Multi-scale Feature Fusion Convolutional Neural Network and Attention Mechanism.- Separable Reversible Data Hiding based on Integer Mapping and Multi-MSB Prediction for Encrypted 3D Mesh Models.- MPN: Multi-Scale Progressive Restoration Network For Unsupervised Defect Detection.- Scene-Aware Ensemble Learning For Robust Crowd Counting.- Complementary Temporal Classification Activation Maps in Temporal Action Localization.- Improve Semantic Correspondence by Filtering the Correlation Scores in both Image Space and Hough Space.- A Simple Network with Progressive Structure for Salient Object Detection.- Feature Enhancement and Multi-Scale Cross-Modal Attention for RGB-D Salient Object Detection.- Improving Unsupervised Learning of Monocular Depth and Ego-motion via Stereo Network.- A non-autoregressive decoding model based on joint classification for 3D human pose regression.- Multimedia Processing and Analysis.- Multiple Semantic Embedding with Graph Convolutional Networks for Multi-Label Image Classification.- AMEN: Adversarial Multi-Space Embedding Network for Text-based Person Re-identification.- AFM-RNN: A Sequent Prediction Model for Delineating Building Rooftops from Remote Sensing Images by Integrating RNN with Attraction Field Map.- Attribute-level Interest Matching Network for Personalized Recommendation.- Variational Deep Representation Learning for Cross-Modal Retrieval.- Vein Centerline Extraction of Visible images Based on Tracking Method.- Discrete Bidirectional Matrix Factorization Hashing for Zero-Shot Cross-Media Retrieval.- Dual Stream Fusion Network for Multi-spectral High Resolution Remote Sensing Image Segmentation.- Multi-scale Extracting and Second-order Statistics for Lightweight Steganalysis.- HTCN: Harmonious Text Colorization Network for Visual-Text


Best Sellers



Product Details
  • ISBN-13: 9783030880064
  • Publisher: Springer Nature Switzerland AG
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Sub Title: 4th Chinese Conference, Prcv 2021, Beijing, China, October 29 - November 1, 2021, Proceedings, Part II
  • Width: 156 mm
  • ISBN-10: 3030880060
  • Publisher Date: 08 Oct 2021
  • Height: 234 mm
  • No of Pages: 700
  • Spine Width: 36 mm
  • Weight: 1015 gr


Similar Products

Add Photo
Add Photo

Customer Reviews

REVIEWS      0     
Click Here To Be The First to Review this Product
Pattern Recognition and Computer Vision
Springer Nature Switzerland AG -
Pattern Recognition and Computer Vision
Writing guidlines
We want to publish your review, so please:
  • keep your review on the product. Review's that defame author's character will be rejected.
  • Keep your review focused on the product.
  • Avoid writing about customer service. contact us instead if you have issue requiring immediate attention.
  • Refrain from mentioning competitors or the specific price you paid for the product.
  • Do not include any personally identifiable information, such as full names.

Pattern Recognition and Computer Vision

Required fields are marked with *

Review Title*
Review
    Add Photo Add up to 6 photos
    Would you recommend this product to a friend?
    Tag this Book Read more
    Does your review contain spoilers?
    What type of reader best describes you?
    I agree to the terms & conditions
    You may receive emails regarding this submission. Any emails will include the ability to opt-out of future communications.

    CUSTOMER RATINGS AND REVIEWS AND QUESTIONS AND ANSWERS TERMS OF USE

    These Terms of Use govern your conduct associated with the Customer Ratings and Reviews and/or Questions and Answers service offered by Booksbay (the "CRR Service").


    By submitting any content to Booksbay, you guarantee that:
    • You are the sole author and owner of the intellectual property rights in the content;
    • All "moral rights" that you may have in such content have been voluntarily waived by you;
    • All content that you post is accurate;
    • You are at least 13 years old;
    • Use of the content you supply does not violate these Terms of Use and will not cause injury to any person or entity.
    You further agree that you may not submit any content:
    • That is known by you to be false, inaccurate or misleading;
    • That infringes any third party's copyright, patent, trademark, trade secret or other proprietary rights or rights of publicity or privacy;
    • That violates any law, statute, ordinance or regulation (including, but not limited to, those governing, consumer protection, unfair competition, anti-discrimination or false advertising);
    • That is, or may reasonably be considered to be, defamatory, libelous, hateful, racially or religiously biased or offensive, unlawfully threatening or unlawfully harassing to any individual, partnership or corporation;
    • For which you were compensated or granted any consideration by any unapproved third party;
    • That includes any information that references other websites, addresses, email addresses, contact information or phone numbers;
    • That contains any computer viruses, worms or other potentially damaging computer programs or files.
    You agree to indemnify and hold Booksbay (and its officers, directors, agents, subsidiaries, joint ventures, employees and third-party service providers, including but not limited to Bazaarvoice, Inc.), harmless from all claims, demands, and damages (actual and consequential) of every kind and nature, known and unknown including reasonable attorneys' fees, arising out of a breach of your representations and warranties set forth above, or your violation of any law or the rights of a third party.


    For any content that you submit, you grant Booksbay a perpetual, irrevocable, royalty-free, transferable right and license to use, copy, modify, delete in its entirety, adapt, publish, translate, create derivative works from and/or sell, transfer, and/or distribute such content and/or incorporate such content into any form, medium or technology throughout the world without compensation to you. Additionally,  Booksbay may transfer or share any personal information that you submit with its third-party service providers, including but not limited to Bazaarvoice, Inc. in accordance with  Privacy Policy


    All content that you submit may be used at Booksbay's sole discretion. Booksbay reserves the right to change, condense, withhold publication, remove or delete any content on Booksbay's website that Booksbay deems, in its sole discretion, to violate the content guidelines or any other provision of these Terms of Use.  Booksbay does not guarantee that you will have any recourse through Booksbay to edit or delete any content you have submitted. Ratings and written comments are generally posted within two to four business days. However, Booksbay reserves the right to remove or to refuse to post any submission to the extent authorized by law. You acknowledge that you, not Booksbay, are responsible for the contents of your submission. None of the content that you submit shall be subject to any obligation of confidence on the part of Booksbay, its agents, subsidiaries, affiliates, partners or third party service providers (including but not limited to Bazaarvoice, Inc.)and their respective directors, officers and employees.

    Accept

    New Arrivals



    Inspired by your browsing history


    Your review has been submitted!

    You've already reviewed this product!