Titlebook: Image Analysis and Processing — ICIAP 2015; 18th International C Vittorio Murino,Enrico Puppo Conference proceedings 2015 Springer Nature S

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Large Scale Specific Object Recognition by Using GIFTS Image Featureypoint feature. The feature vector consists of intensity deltas for 128 selected pixel pairs around the keypoint. By generating a KD-Tree from the GIFTS feature vectors of the training images and using the KD-Tree to search for nearest neighbor feature vectors of a query image, query times are on th

牲畜栏

On Spatiochromatic Features in Natural Images Statisticslain the observed shape of decorrelated spatiochromatic elements (bases obtained by PCA) of natural color images. The validity of these assumptions is tested on a large database of RAW images. Our experiments also show that the spatiochromatic covariance decays exponentially with the spatial distanc

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Real-Time Foreground Segmentation with Kinect Sensorovide at the same time a color image and a depth map of the scene. However Kinect focuses specifically on human-computer interaction, so the SDK supplied with the sensors allows to achieve an efficient detection of foreground people but not of generic objects. This paper presents an alternative and

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Scleroderma

Fast Image Classification with Reduced Multiclass Support Vector Machinestackle this problem, using one-vs-one or one-vs-all learning schemes to enable multiclass classification, and kernels designed for image classification to handle nonlinearities. To classify an image at test time, an SVM requires matching it against a small subset of the training data, namely, its su

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昏睡中

Enhancing Signal Discontinuities with Shearlets: An Application to Corner Detectionon in multivariate problem classes. For this reason, Shearlets appear to be a valid choice for multi-resolution image processing and feature detection. In this paper we provide a brief review of the theory, referring in particular to the problem of enhancing signal discontinuities. We then discuss t

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