By Jinfeng Yang, Jucheng Yang, Zhenan Sun, Shiguang Shan, Weishi Zheng, Jianjiang Feng
This publication constitutes the refereed complaints of the tenth chinese language convention on Biometric attractiveness, CCBR 2015, held in Tianjin, China, in November 2015.
The eighty five revised complete papers provided have been rigorously reviewed and chosen from between a hundred and twenty submissions. The papers specialize in face, fingerprint and palmprint, vein biometrics, iris and ocular biometrics, behavioral biometrics, software and procedure of biometrics, multi-biometrics and data fusion, different biometric reputation and processing.
Read or Download Biometric Recognition: 10th Chinese Conference, CCBR 2015, Tianjin, China, November 13-15, 2015, Proceedings PDF
Similar computer vision & pattern recognition books
Markov random box (MRF) concept presents a foundation for modeling contextual constraints in visible processing and interpretation. It permits systematic improvement of optimum imaginative and prescient algorithms while used with optimization rules. This distinct and carefully stronger 3rd variation offers a entire learn / connection with theories, methodologies and up to date advancements in fixing laptop imaginative and prescient difficulties in keeping with MRFs, records and optimization.
The publication offers with the advance of a technique to estimate the movement box among frames for video coding purposes. This e-book proposes an exhaustive research of the movement estimation technique within the framework of a basic video coder. The conceptual motives are mentioned in an easy language and with using compatible figures.
This booklet not just offers a entire creation to neural-based PCA equipment up to speed technology, but additionally provides many novel PCA algorithms and their extensions and generalizations, e. g. , twin function, coupled PCA, GED, neural dependent SVD algorithms, and so on. It additionally discusses intimately a variety of research tools for the convergence, stabilizing, self-stabilizing estate of algorithms, and introduces the deterministic discrete-time platforms approach to learn the convergence of PCA/MCA algorithms.
This publication presents a concise advent to Pervasive Computing, another way referred to as net of items (IoT) and Ubiquitous Computing (Ubicomp) which addresses the seamless integration of computing structures inside of daily items. by way of introducing the center issues and exploring assistive pervasive structures which infer their context via development acceptance, the writer offers readers with a gradual but powerful origin of information to this starting to be box of study.
- Control and Dynamic Systems (Neural Network Systems Techniques and Applications)
- Theory of communication
- Vowel Inherent Spectral Change
- Practical Guide to Image Analysis
- Progress In Computer Vision And Image Analysis (Series in Machine Perception & Artifical Intelligence) (Series in Machine Perception and Artificial Intelligence)
Additional info for Biometric Recognition: 10th Chinese Conference, CCBR 2015, Tianjin, China, November 13-15, 2015, Proceedings
International Journal of Pattern Recognition and Artificial Intelligence 26(01) (2012) 12. : Overview of the face recognition grand challenge. In: IEEE Workshop on Face Recognition Grand Challenge Experiments, pp. 947–954 (2005) 13. : Distinctive image features from scale-invariant keypoints. International Journal of Computer and Vision 60(4), 91–110 (2004) 14. : Rank-SIFT: Learning to rank repeatable local interest points. In: IEEE International Conference on Computer Vision and Pattern Recognition, pp.
The general framework is illustrated in Fig. 1. Point cloud Preprocessing Sphere depth LBP image representation Local feature extraction and matching Fig. 1. General framework of proposed method The paper can be summarized as follows: Section 2 describes the point cloud preprocessing and the sphere depth image generation. In section 3, we introduce the local features matching on sphere LBP depth image utilizing learning to rank strategy. The experimental results are provided in section 4. Section 5 concludes the paper.
In KPCA-based methods, the parameters of RBF kernel function is set as t = 5 × 103 . The whole database is randomly divided into training set and test set. The accuracy is computed using nearest neighbor classiﬁer. The experiments are repeated 10 times and the average accuracies are recorded. 1 Experiments on ORL Database In the ORL database, there are 400 gray images with 40 persons. Each person has 10 images with diﬀerent poses and expressions. Images from one person are shown in Figure 1. The size of each image is 112×92.