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Titlebook: Computer Vision – ACCV 2018; 14th Asian Conferenc C.V. Jawahar,Hongdong Li,Konrad Schindler Conference proceedings 2019 Springer Nature Swi

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Rectification from Radially-Distorted Scalese content made by the state of the art. Accurate rectifications on imagery taken with narrow focal length to fisheye lenses demonstrate the wide applicability of the proposed method. The method is automatic, and the code is published at ..
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Partially Occluded Hands:ed from videos where hands are often between objects and mostly unoccluded. We annotated a subset of the dataset and used that to show that humans are robust with respect to occlusion, and also to characterize human hand perception, the space of grasps that seem to be considered, and the accuracy of
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DSNet: Deep and Shallow Feature Learning for Efficient Visual Trackingus enabling an elegant combination of the MSC features with any DCF-based methods. Additionally, a channel reliability measurement (CRM) method is presented to further refine the learned MSC features. We demonstrate the effectiveness of the MSC features learned from the proposed DSNet on two DCF tra
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Loss Guided Activation for Action Recognition in Still Imagesction class and human location heatmap. Extensive experiments demonstrate our approach is more robust compared to the baseline methods under the presence of irrelevant misleading contexts. Our method achieves 94.06% and 40.65% (in terms of mAP) on Stanford40 and MPII dataset respectively, which are
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Visual Odometry for Indoor Mobile Robot by Recognizing Local Manhattan Structurestructures. Pose estimation is realized based on the alignment of the camera coordinate frame to one dominant local Manhattan coordinate frame. Knowing pose information, the location estimation is carried out by a combination of a one-point RANSAC method and the ICP algorithm depending on the number
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