close menu
Bookswagon-24x7 online bookstore
close menu
My Account
36%
Computer Vision -- ECCV 2012. Workshops and Demonstrations: Florence, Italy, October 7-13, 2012, Proceedings, Part I(7583 Lecture Notes in Computer Science)

Computer Vision -- ECCV 2012. Workshops and Demonstrations: Florence, Italy, October 7-13, 2012, Proceedings, Part I(7583 Lecture Notes in Computer Science)

          
5
4
3
2
1

Available


Premium quality
Premium quality
Bookswagon upholds the quality by delivering untarnished books. Quality, services and satisfaction are everything for us!
Easy Return
Easy return
Not satisfied with this product! Keep it in original condition and packaging to avail easy return policy.
Certified product
Certified product
First impression is the last impression! Address the book’s certification page, ISBN, publisher’s name, copyright page and print quality.
Secure Checkout
Secure checkout
Security at its finest! Login, browse, purchase and pay, every step is safe and secured.
Money back guarantee
Money-back guarantee:
It’s all about customers! For any kind of bad experience with the product, get your actual amount back after returning the product.
On time delivery
On-time delivery
At your doorstep on time! Get this book delivered without any delay.
Quantity:
Add to Wishlist

About the Book

The three volume set LNCS 7583, 7584 and 7585 comprises the Workshops and Demonstrations which took place in connection with the European Conference on Computer Vision, ECCV 2012, held in Firenze, Italy, in October 2012. The total of 179 workshop papers and 23 demonstration papers was carefully reviewed and selected for inclusion in the proceedings. They where held at workshops with the following themes: non-rigid shape analysis and deformable image alignment; visual analysis and geo-localization of large-scale imagery; Web-scale vision and social media; video event categorization, tagging and retrieval; re-identification; biological and computer vision interfaces; where computer vision meets art; consumer depth cameras for computer vision; unsolved problems in optical flow and stereo estimation; what's in a face?; color and photometry in computer vision; computer vision in vehicle technology: from earth to mars; parts and attributes; analysis and retrieval of tracked events and motion in imagery streams; action recognition and pose estimation in still images; higher-order models and global constraints in computer vision; information fusion in computer vision for concept recognition; 2.5D sensing technologies in motion: the quest for 3D; benchmarking facial image analysis technologies.

Table of Contents:
Putting the Pieces Together: Regularized Multi-part Shape Matching.- Combined Motion Estimation and Reconstruction in Tomography.- 3D Object Classification Using Scale Invariant Heat Kernels with Collaborative Classification.- 3D Facial Landmark Localization Using Combinatorial Search and Shape Regression.- Statistical Shape Analysis for Population Studies via Level-Set Based Shape Morphing.- Group-Valued Regularization for Analysis of Articulated Motion.- Drawing an Automatic Sketch of Deformable Objects Using Only a Few Images.- Superfaces: A Super-Resolution Model for 3D Faces.- Stable Spectral Mesh Filtering.- Analytical Dynamic Programming Matching.- Correspondences of Persistent Feature Points on Near-Isometric Surfaces.- 3D Reconstruction of Non-Rigid Surfaces in Real-Time Using Wedge Elements.- Schrödinger Diffusion for Shape Analysis with Texture.- Anchored Deformable Face Ensemble Alignment.- Multiple Object Tracking via Prediction and Filtering with a Sobolev-Type Metric onCurves.- Facial Model Fitting Based on Perturbation Learning and It’s Evaluation on Challenging Real-World Diversities Images.- Adaptive Rendering for Large-Scale Skyline Characterization and Matching.- Ultra-wide Baseline Facade Matching for Geo-localization.- A Memory Efficient Discriminative Approach for Location Aided Recognition.- Web-Scale Vision and Social Media Weakly Supervised Learning of Object Segmentations from Web-Scale Video.- Classifier Ensemble Recommendation.- Towards Exhaustive Pairwise Matching in Large Image Collections.- Large Vocabularies for Keypoint-Based Representation and Matching of Image Patches.- Linearized Smooth Additive Classifiers.- Ask’nSeek: A New Game for Object Detection and Labeling.- Learning to Match Images in Large-Scale Collections.- Efficient Mining of Repetitions in Large-Scale TV Streams with Product Quantization Hashing.- An Efficient Parallel Strategy for Matching Visual Self-similarities in Large Image Databases.- Atomic Action Features:A New Feature for Action Recognition.- Spatio-temporal SIFT and Its Application to Human Action Classification.- Statistics of Pairwise Co-occurring Local Spatio-temporal Features for Human Action Recognition.- Visual Code-Sentences: A New Video Representation Based on Image Descriptor Sequences.- Action Recognition Robust to Background Clutter by Using Stereo Vision.- Recognizing Actions across Cameras by Exploring the Correlated Subspace.- Chinese Shadow Puppetry with an Interactive Interface Using the Kinect Sensor.- Group Dynamics and Multimodal Interaction Modeling Using a Smart Digital Signage.- Automated Textual Descriptions for a Wide Range of Video Events with 48 Human Actions.- Learning Implicit Transfer for Person Re-identification.- Person Re-identification: What Features Are Important? .- Towards Person Identification and Re-identification with Attributes.- Local Descriptors Encoded by Fisher Vectors for Person Re-identification.- Re-identification of Pedestrians in Crowds Using Dynamic Time Warping.- Re-identification with RGB-D Sensors.- Identity Inference: Generalizing Person Re-identification Scenarios.- A General Method for Appearance-Based People Search Based on Textual Queries.- Biological and Computer Vision Interfaces (BCVI) Lessons from the Primate Visual System.- Neural Mechanisms for Form and Motion Detection and Integration: Biology Meets Machine Vision.- Neural Fields Models of Visual Areas: Principles, Successes, and Caveats.- Visual Cortex as a General-Purpose Information-Processing Device.- Reading Out the Synaptic Echoes of Low-Level Perception in V1.- Learning Invariant Feature Hierarchies.- Fun with Asynchronous Vision Sensors and Processing.- Spike-Based Image Processing: Can We Reproduce Biological Vision in Hardware?.- Where Computer Vision Meets Art (VISART) PHOG-Derived Aesthetic Measures Applied to Color Photographs of Artworks, Natural Scenes and Objects.- Wehrli 2.0 : An Algorithm for “Tidying up Art”.- Feature Vector Definition for a Decision Tree Based Craquelure Identification in Old Paintings.- Computer-Aided Reclamation of Lost Art.- Evaluation of Digital Inpainting Quality in the Context of Artwork Restoration.- Shaping Art with Art: Morphological Analysis for Investigating Artistic Reproductions.- Artificial Mosaics with Irregular Tiles Based on Gradient Vector Flow.- Identification of Illustrators.- Locally Consistent ToF and Stereo Data Fusion.


Best Seller

| | See All

Product Details
  • ISBN-13: 9783642338625
  • Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
  • Publisher Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • Edition: 2012 ed.
  • Language: English
  • Returnable: N
  • Spine Width: 33 mm
  • Weight: 879 gr
  • ISBN-10: 3642338623
  • Publisher Date: 31 Aug 2012
  • Binding: Paperback
  • Height: 235 mm
  • No of Pages: 611
  • Series Title: 7583 Lecture Notes in Computer Science
  • Sub Title: Florence, Italy, October 7-13, 2012, Proceedings, Part I
  • Width: 155 mm


Similar Products

How would you rate your experience shopping for books on Bookswagon?

Add Photo
Add Photo

Customer Reviews

REVIEWS           
Be The First to Review
Computer Vision -- ECCV 2012. Workshops and Demonstrations: Florence, Italy, October 7-13, 2012, Proceedings, Part I(7583 Lecture Notes in Computer Science)
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG -
Computer Vision -- ECCV 2012. Workshops and Demonstrations: Florence, Italy, October 7-13, 2012, Proceedings, Part I(7583 Lecture Notes in Computer Science)
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.

Computer Vision -- ECCV 2012. Workshops and Demonstrations: Florence, Italy, October 7-13, 2012, Proceedings, Part I(7583 Lecture Notes in Computer Science)

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 Bookswagon (the "CRR Service").


    By submitting any content to Bookswagon, 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 Bookswagon (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 Bookswagon 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,  Bookswagon 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 Bookswagon's sole discretion. Bookswagon reserves the right to change, condense, withhold publication, remove or delete any content on Bookswagon's website that Bookswagon deems, in its sole discretion, to violate the content guidelines or any other provision of these Terms of Use.  Bookswagon does not guarantee that you will have any recourse through Bookswagon to edit or delete any content you have submitted. Ratings and written comments are generally posted within two to four business days. However, Bookswagon reserves the right to remove or to refuse to post any submission to the extent authorized by law. You acknowledge that you, not Bookswagon, 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 Bookswagon, 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

    | | See All


    Inspired by your browsing history


    Your review has been submitted!

    You've already reviewed this product!
    ASK VIDYA