Titlebook: Computer Vision -- ACCV 2010 Workshops; ACCV 2010 Internatio Reinhard Koch,Fay Huang Conference proceedings 2011 Springer-Verlag GmbH Berli

entitle

Frontal Face Generation from Multiple Low-Resolution Non-frontal Faces for Face Recognitionut one. Using frontal face images actually transformed from low-resolution non-frontal face images, two kinds of experiments were conducted. The experimental results demonstrates that increasing the number of input images improves the RMSEs and the recognition rates for low-resolution face images.

Foolproof

cylinder

0302-9743 om Earth to Mars; electronic cultural heritage; subspace based methods; video event categorization, tagging and retrieval; visual surveillance; application of computer vision for mixed and augmented reality..978-3-642-22821-6978-3-642-22822-3Series ISSN 0302-9743 Series E-ISSN 1611-3349

食品室

https://doi.org/10.1007/978-3-030-59588-3n order to construct the two distinct hyperplanes, different cost coefficients for training samples are chosen in SVM learning. Experiment results in UIUC data set demonstrate that the proposed method achieve high detection accuracy and better efficiency.

occurrence

突袭

microscopic

Improving Detector of Viola and Jones through SVMn order to construct the two distinct hyperplanes, different cost coefficients for training samples are chosen in SVM learning. Experiment results in UIUC data set demonstrate that the proposed method achieve high detection accuracy and better efficiency.

STRIA

HOG-Based Descriptors on Rotation Invariant Human Detectionrmance. Moreover, some rotation-invariant techniques used in image retrieval outperform other techniques in human classification on . pose and perform very well on various poses. This could help in neglecting the assumption of . pose generally used.

尽管

Fast and Accurate Pedestrian Detection Using a Cascade of Multiple Featurestor dimensionality using Principle Component Analysis. The experimental results on the DaimlerChrysler benchmark dataset show that we can reach very close accuracy to the CoHOG-only classifier but in less than 1/1000 of its computational cost.

Magisterial

Conference proceedings 2011with the 10th Asian Conference on Computer Vision, in Queenstown, New Zealand, in November 2010..From a total of 167 submissions to all workshops, 89 papers were selected for publication. The contributions are grouped together according to the main workshops topics, which were: computational photogr