Titlebook: Image Analysis and Recognition; 8th International Co Mohamed Kamel,Aurélio Campilho Conference proceedings 2011 Springer-Verlag GmbH Berlin

AER

A Flexible Framework for Local Phase Coherence Computationem, where the object function computes the closeness between true local phase and the predicted phase by LPC. The proposed method not only facilitates flexible and reliable computation of LPC, but also demonstrates strong robustness in the presence of noise. The groundwork laid here broadens the potentials of LPC in future applications.

CON

Peristalsis

Structural Fidelity vs. Naturalness - Objective Assessment of Tone Mapped ImagesSSIM) index and a naturalness measure based on statistics on the brightness of natural images. Validations using available subjective data show good correlations between the proposed measure and subjective rankings of LDR images created by existing tone mapping operators.

哺乳动物

Conference proceedings 2011in Burnaby, Canada, in June 2011. The 84 revised full papers presented were carefully reviewed and selected from 147 submissions. The papers are organized in topical sections on image and video processing; feature extraction and pattern recognition; computer vision; color, texture, motion and shape;

Dignant

0302-9743 ceedings of the 8th International Conference on Image and Recognition, ICIAR 2011, held in Burnaby, Canada, in June 2011. The 84 revised full papers presented were carefully reviewed and selected from 147 submissions. The papers are organized in topical sections on image and video processing; featur

语源学

Single Image Example-Based Super-Resolution Using Cross-Scale Patch Matching and Markov Random Fieldarkov Random Field modelling that forces their global agreement. Additionally, we apply back-projection and steering kernel regression as post-processing techniques. In this way, we are able to produce sharp and artefact-free results that are comparable or better than standard interpolation and state-of-the-art super-resolution techniques.

alcohol-abuse

Fantasy

condone

Feature Selection for Tracker-Less Human Activity Recognitiond (iii) number of previous frames to include, amongst others. We select the features’ parameters that provide the best compromise between performance and computational efficiency and apply the features in a challenging problem, the tracker-less and detection-less human activity recognition.

纯朴