Results 231 to 240 of about 262,719 (263)
Some of the next articles are maybe not open access.
Multi-scale structural kernel representation for object detection
Pattern Recognition, 2021Abstract Existing high-performance object detection methods greatly benefit from the powerful representation ability of deep convolutional neural networks (CNNs). Recent researches show that integration of high-order statistics remarkably improves the representation ability of deep CNNs.
Hao Wang 0073 +3 more
openaire +1 more source
Multi-scale Sparse Representation for Robust Face Recognition
2011 Third International Conference on Knowledge and Systems Engineering, 2011Recently the Sparse Representation-based Classification (SRC) has been successfully used in face recognition. In SRC, a test image is coded by a linear combination of the training dictionary. In this paper, we propose a model extends from SRC named Multi-scale SRC (MSRC). The MSRC build the multi-scale dictionary for the training.
Mao X. Nguyen +4 more
openaire +1 more source
Learning multi-scale sparse representation for visual tracking
2014 IEEE International Conference on Image Processing (ICIP), 2014We present a novel algorithm for learning multi-scale sparse representation for visual tracking. In our method, sparse codes with max pooling are used to form a multi-scale representation that integrates spatial configuration over patches of different sizes.
Zhengjian Kang, Edward K. Wong
openaire +1 more source
Assessment on uncertainty of multi-scale representation of point cluster
2010 18th International Conference on Geoinformatics, 2010In this paper, it firstly establishes the assessment contents on uncertainty of multi-scale representation of point cluster around the process of multi-scale representation of point cluster and its spatial analysis, which includes positional uncertainty and uncertainty of spatial analysis conclusions; the assessment index K and the quantitative model ...
Feng Xu, Jianhua He, Shengnan Zhang
openaire +1 more source
Multi-scale Deep Representation Learning for Face Detection
2018 IEEE Visual Communications and Image Processing (VCIP), 2018In this paper, we propose a face detection method with multi-scale deep representation learning. While existing face detection methods have achieved good performance, they fail to consider the large intra-class variations between faces in the prediction stage and the relation between multi-scale proposals in the proposal stage.
Jifei Han +3 more
openaire +1 more source
Consistency constraint and assessment model of multi-scale representation
2015 23rd International Conference on Geoinformatics, 2015An important issue is to check and identify the inconsistency of multi-representation data, when building multiscale spatial database. The representations of the same geographic entity in real world are different in terms of location, shape, and spatial relationships.
Di Chen +3 more
openaire +1 more source
Smooth surfaces for multi-scale shape representation
1995The skin of a set of weighted points in ld is defined as a differentiable and orientable (d}- 1)-manifold surrounding the points. The skin varies continuously with the points and weights and at all times maintains the homotopy equivalence between the dual shape of the points and the body enclosed by the skin.
openaire +1 more source
Efficient Texture Representation Using Multi-scale Regions
2007This paper introduces an efficient way of representing textures using connected regions which are formed by coherent multi-scale over-segmentations. We show that the recently introduced covariance-based similarity measure, initially applied on rectangular windows, can be used with our newly devised, irregular structure-coherent patches; increasing the ...
Horst Wildenauer +2 more
openaire +1 more source
Multi-scale counting and difference representation for texture classification
The Visual Computer, 2017Multi-scale analysis has been widely used for constructing texture descriptors by modeling the coefficients in transformed domains. However, the resulting descriptors are not robust to the rotated textures when performing texture classification. To alleviate this problem, we in this paper propose a multi-scale counting and difference representation ...
Yongsheng Dong +5 more
openaire +1 more source
Face pose estimation with ensemble multi-scale representations
Proceedings of the 2nd International Conference on Artificial Intelligence and Pattern Recognition, 2019Face pose estimation plays important roles in broad applications such as visual based surveillance, face authentication, human-computer intelligent interactions, etc. However, face pose estimation is also a challenge issue, especially under complicated real application environments.
Zhaocui Han +3 more
openaire +1 more source