Works (4)
Updated: July 5th, 2023 15:50
2014 journal article
Subspace Learning of Dynamics on a Shape Manifold: A Generative Modeling Approach
IEEE TRANSACTIONS ON IMAGE PROCESSING, 23(11), 4907–4919.
author keywords: Subspace learning; dimension reduction; shape analysis; shape dynamic analysis
TL;DR:
A novel subspace learning algorithm of shape dynamics that is invertible and better characterizes the nonlinear geometry of a shape manifold while retaining a good computational efficiency is proposed.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
2012 conference paper
Human activity modeling as Brownian motion on shape manifold
Scale space and variational methods in computer vision, 6667, 628–639.
TL;DR:
The result demonstrate the high accuracy of the modeling in characterizing different activities as well as the one to one correspondence between the process in Euclidean space and the one on manifold.
(via Semantic Scholar)
Source: NC State University Libraries
Added: August 6, 2018
2011 conference paper
A invertible dimension reduction of curves on a manifold
2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops).
TL;DR:
This paper proposes a novel lower dimensional representation of a shape sequence using a sequence of local flat subspaces adaptive to the geometry of both of the curve and the manifold it lies on and demonstrates the advantages of the proposed theoretical innovation.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
9. Industry, Innovation and Infrastructure
(OpenAlex)
Source: NC State University Libraries
Added: August 6, 2018
2009 journal article
A Shearlet Approach to Edge Analysis and Detection
IEEE TRANSACTIONS ON IMAGE PROCESSING, 18(5), 929–941.
author keywords: Curvelets; edge detection; feature extraction; shearlets; singularities; wavelets
TL;DR:
This paper proposes a novel approach based on the shearlet transform: a multiscale directional transform with a greater ability to localize distributed discontinuities such as edges, which is useful to design simple and effective algorithms for the detection of corners and junctions.
(via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018
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