Titlebook: Computer Analysis of Images and Patterns; 14th International C Pedro Real,Daniel Diaz-Pernil,Walter Kropatsch Conference proceedings 2011 S

ARCH

Finasteride

Irene Crimaldi,Giorgio Letta,Luca Pratellied documents suffer from intensity variations, partial occlusions, cluttering, and large scale variations. Furthermore, the existence of non-uniform folds and the lack of document being flat make this task more challenging. We present the selection of robust local features and the corresponding para

步履蹒跚

Precursor

A Strong Form of Stable Convergencece properties made it useful in many vision applications. However, due to its nature, it fails in preserving features in the periphery. In the current work, as an attempt to overcome this problem, we propose a novel space-variant representation. It is evaluated and proved to be better than the log-p

庄严

共和国

A Strong Form of Stable Convergencees, we explicitly integrate information about the object geometry. The method is tested using the example of wire rope inspection as this is a very challenging problem..A perfectly regular 3d model of the rope is aligned with a sequence of 2d rope images to establish a direct connection between obje

向外

https://doi.org/10.1007/978-3-540-77913-1od highly depends on the training dataset as well as learning parameters. The research develops optimum values of Haar-training parameters to create a nested cascade of classifiers for real-time eye status detection. The detectors can detect eye-status of open, closed, or diverted not only from fron

Expressly

intangibility

Sur un resultat de L. Schwartz,JPEG XR is considered as a lossy sample data compression scheme in the context of iris recognition techniques. It is shown that apart from low-bitrate scenarios, JPEG XR is competitive to the current standard JPEG2000 while exhibiting significantly lower computational demands.

nutrition

Semi-fragile Watermarking in Biometric Systems: Template Self-EmbeddingEmbedding biometric templates as image-dependent watermark information in semi-fragile watermark embedding is proposed. Experiments in an iris recognition environment show that the embedded templates can be used to verify sample data integrity and may serve additionally to increase robustness in the biometric recognition process.