Computer Vision – ECCV 2014: 13th European Conference, by David Fleet, Tomas Pajdla, Bernt Schiele, Tinne Tuytelaars

By David Fleet, Tomas Pajdla, Bernt Schiele, Tinne Tuytelaars

The seven-volume set comprising LNCS volumes 8689-8695 constitutes the refereed court cases of the thirteenth eu convention on machine imaginative and prescient, ECCV 2014, held in Zurich, Switzerland, in September 2014. The 363 revised papers provided have been conscientiously reviewed and chosen from 1444 submissions. The papers are equipped in topical sections on monitoring and job reputation; popularity; studying and inference; constitution from movement and have matching; computational images and low-level imaginative and prescient; imaginative and prescient; segmentation and saliency; context and 3D scenes; movement and 3D scene research; and poster sessions.

Show description

Read or Download Computer Vision – ECCV 2014: 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part V PDF

Similar computer vision & pattern recognition books

Markov Models for Pattern Recognition: From Theory to Applications

Markov versions are used to resolve tough trend acceptance difficulties at the foundation of sequential info as, e. g. , computerized speech or handwriting reputation. This finished creation to the Markov modeling framework describes either the underlying theoretical options of Markov types - protecting Hidden Markov versions and Markov chain versions - as used for sequential info and provides the options essential to construct winning platforms for functional functions.

Cognitive Systems

Layout of cognitive platforms for advice to humans poses an incredible problem to the fields of robotics and synthetic intelligence. The Cognitive platforms for Cognitive counsel (CoSy) undertaking was once geared up to deal with the problems of i) theoretical development on layout of cognitive structures ii) tools for implementation of structures and iii) empirical stories to additional comprehend the use and interplay with such platforms.

Motion History Images for Action Recognition and Understanding

Human motion research and popularity is a comparatively mature box, but one that is usually no longer good understood by means of scholars and researchers. the big variety of attainable adaptations in human movement and visual appeal, digital camera perspective, and atmosphere, current huge demanding situations. a few vital and customary difficulties stay unsolved by means of the pc imaginative and prescient group.

Data Clustering: Theory, Algorithms, and Applications

Cluster research is an unmanaged strategy that divides a collection of items into homogeneous teams. This publication starts off with uncomplicated details on cluster research, together with the type of knowledge and the corresponding similarity measures, by means of the presentation of over 50 clustering algorithms in teams in keeping with a few particular baseline methodologies equivalent to hierarchical, center-based, and search-based equipment.

Additional resources for Computer Vision – ECCV 2014: 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part V

Sample text

The results do not depend on the PnP method. Comparing relative method accuracy for ASPnP as baseline (table 5) we observe: • SP (D) is increasingly helpful with growing outlier contamination (ρ3,4,5 ). Similar to results on synthetic data, SP+C (E) does not help much. • In general, all LS variants (I,J,K,L) offer significantly better results than any other method. In contrast to our experiments on synthetic data, for real data Video Registration to SfM Models 13 LSWS (B) and, as a consequence LS (I) / LS+CP (J) have similar scores in positional accuracy to SP+LS (K) / SP+LS+CP (L).

Schmid, C. ) ECCV 2012, Part I. LNCS, vol. 7572, pp. 15–29. Springer, Heidelberg (2012) 26. : Location Recognition using Prioritized Feature Matching. , Paragios, N. ) ECCV 2010, Part II. LNCS, vol. 6312, pp. 791–804. Springer, Heidelberg (2010) 27. : Real-time image-based 6-dof localization in large-scale environments. In: CVPR (2012) 28. : Distinctive Image Features from Scale-Invariant Keypoints. IJCV (2004) 29. : Live dense reconstruction with a single moving camera. In: CVPR (2010) 30. : DTAM: Dense tracking and mapping in real-time.

4 Conclusions This paper has presented MultiAgg, a generic cost volume aggregation framework for effectively addressing pixel-labeling problems. The key contribution is the idea of adaptively fusing the cost aggregation results from multi-resolutions in a coarse-to-fine manner. Experimental results have shown that MultiAgg produces more accurate results than current state-of-the-art methods both visually and quantitatively. In addition to its effectiveness, another advantage is its computational efficiency which is inherited from the fast cost aggregation methods.

Download PDF sample

Rated 4.57 of 5 – based on 21 votes