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20132022
most citedPatch-based Probabilistic Image Quality Assessment for Face Selection and Improved Video-based Face Recognition

323 citations · 1.4k across the 44 of their papers we have counts for

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Showing 2013Show all

11 papers · 1 filter

cs.CV2013

Dictionary Learning and Sparse Coding on Grassmann Manifolds: An Extrinsic Solution

Mehrtash Harandi, Conrad Sanderson, Chunhua Shen +1

Recent advances in computer vision and machine learning suggest that a wide range of problems can be addressed more appropriately by considering non-Euclidean geometry. In this pap…

cs.LG2013★ 179 cited

Sparse Coding and Dictionary Learning for Symmetric Positive Definite Matrices: A Kernel Approach

Mehrtash T. Harandi, Conrad Sanderson, Richard Hartley +1

Recent advances suggest that a wide range of computer vision problems can be addressed more appropriately by considering non-Euclidean geometry. This paper tackles the problem of s…

cs.CV2013★ 18 cited

Dynamic Amelioration of Resolution Mismatches for Local Feature Based Identity Inference

Yongkang Wong, Conrad Sanderson, Sandra Mau +1

While existing face recognition systems based on local features are robust to issues such as misalignment, they can exhibit accuracy degradation when comparing images of differing…

q-bio.CB2013★ 54 cited

Classification of Human Epithelial Type 2 Cell Indirect Immunofluoresence Images via Codebook Based Descriptors

Arnold Wiliem, Yongkang Wong, Conrad Sanderson +3

The Anti-Nuclear Antibody (ANA) clinical pathology test is commonly used to identify the existence of various diseases. A hallmark method for identifying the presence of ANAs is th…

cs.CV2013★ 194 cited

Improved Anomaly Detection in Crowded Scenes via Cell-based Analysis of Foreground Speed, Size and Texture

Vikas Reddy, Conrad Sanderson, Brian C. Lovell

A robust and efficient anomaly detection technique is proposed, capable of dealing with crowded scenes where traditional tracking based approaches tend to fail. Initial foreground…

cs.CV2013★ 323 cited

Patch-based Probabilistic Image Quality Assessment for Face Selection and Improved Video-based Face Recognition

Yongkang Wong, Shaokang Chen, Sandra Mau +2

In video based face recognition, face images are typically captured over multiple frames in uncontrolled conditions, where head pose, illumination, shadowing, motion blur and focus…