2016计算机视觉强大的功能研讨会 Robust Features for Computer Vision Workshop

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活动简介

We encourage researchers to develop new robust features (e.g., manually designed local features or feature learning) to extract useful feature representations. We also encourage new theories and processes related to features.

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征稿范围

New features (manually designed local features, or feature learning in supervised, weakly supervised or unsupervised way) robust to noise, illuminations, scale, rotations and occlusions,
Robust features that are suitable for wearable devices (e.g., smart glasses, smart phones) with strict requirements for computational efficiency and low power consumption,
New applications of descriptors in different domains, e.g. medical domain,
Other application in different domain, such as one dimension (1D) digital signal processing, 2D images, 3D videos and 4D videos,
Evaluations of current traditional descriptors,
Evaluations between the features learned by deep learning and the traditional descriptors (e.g., LBP, SIFT, HOG)