Titlebook: Image Analysis and Processing - ICIAP 2017; 19th International C Sebastiano Battiato,Giovanni Gallo,Filippo Stanco Conference proceedings 2

Eclampsia

Two More Strategies to Speed Up Connected Components Labeling Algorithmsl decision trees considering image patterns occurrences, while the second one articulates how two scan algorithms can be parallelized using multi-threading. Experimental results demonstrate that the proposed methodologies reduce the total execution time of state-of-the-art two scan algorithms.

亵渎

不透明

Synchronization in the Symmetric Inverse Semigroupining them in multi-view correspondences while enforcing loop-closure constraints..This paper proposes a novel solution for partial permutation synchronization based on a spectral decomposition. Experiments on both synthetic and real data shows that our technique returns accurate results in the pres

未开化

GIDDY

A Lightweight Mamdani Fuzzy Controller for Noise Removal on Iris Images noise factors during the acquisition. On the other side, it also represents a crucial step since poor removal of noise leads to degradation of recognition performance. In this work, a lightweight fuzzy-based solution has been explored. The goal is to propose a fast but reliable segmentation approac

黑豹

Analysis of the Discriminative Generalized Hough Transform for Pedestrian Detectionility etc., among them deformable part models, feature-based approaches (e.g. histograms of oriented gradients), and recently deep learning-based algorithms. Current deep learning-based frameworks rely either on a proposal generation mechanism (e.g. “Faster R-CNN”) or on inspection of image quadrant

acquisition

Bubble Shape Identification and Calculation in Gas-Liquid Slug Flow Using Semi-automatic Image Segmelying the results were compared to images reconstructed from the wire-mesh sensor. The method has the advantages of no intrusion and easy implementation. Preliminary results in the segmentation of gas bubbles images in horizontal flow proposed here help a better identification of the shapes of elong

Aerate

Veneer

Deep Passenger State Monitoring Using Viewpoint Warpingeys. In this paper, we propose a deep learning method to monitor and classify passenger state with camera data. The training of a convolutional neural network is supplemented by data captured from vehicle occupants in different seats and from different viewpoints. Existing driver data or data from o

grandiose