Mingming Huang

Mingming Huang

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10
Publications
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53
Citations

Publications

Publications (10)
Conference Paper
This paper proposes a 3D face recognition approach using sphere depth image, which is robust to pose variations in unconstrained environments. The input 3D face point clouds is first transformed into sphere depth images, and then represented as a 3DLBP image to enhance the distinctiveness of smooth and similar facial depth images. An improved SIFT...
Conference Paper
3D local feature descriptor construction is a very challenging task in the field of 3D model analysis. In this paper, an improved Rotational Projection Statistics (IRoPS) descriptor is proposed. For each feature point, the local coordinate system is firstly built and its neighboring points are normalized. Then the normalized neighboring points are...
Article
Shape and texture information are critical to the accuracy of image classification systems. In this study, the authors propose a novel descriptor called weighted centre-symmetric local ternary pattern (WCS-LTP), better characterising the image local texture. Then, based on the proposed WCS-LTP descriptor, they introduce a new local scale invariant...
Article
Full-text available
This paper presents an effective local image feature region descriptor, called CLDTP descriptor (Compact Local Directional Texture Pattern), and its application in image matching and object recognition. The CLDTP descriptor encodes the directional and contrast information in a local region, so it contains the gradient orientation information and th...
Article
Local image description is a key issue for local features related tasks in computer vision. A good descriptor should achieve high distinctiveness and robustness. In this paper, we propose a new descriptor called multi-support region improved weighted center symmetric local ternary pattern (MSR-IWCS-LTP). Unlike traditional descriptors, it uses mult...
Article
Full-text available
Scale-invariant feature transform (SIFT) algorithm, one of the most famous and popular interest point detectors, detects extrema by using difference-of-Gaussian (DoG) filter which is an approximation to the Laplacian-of-Gaussian (LoG) for improving speed. However, DoG filter has a strong response along edge, even if the location along the edge is p...
Article
Local image description is a key issue for local features related tasks in computer vision. A good descriptor should achieve two competing goals which are high-quality description and low computational complexity. In this paper, we propose a novel operator called orthogonal symmetric local ternary pattern (OS-LTP), achieving robustness against nois...
Conference Paper
Using 3D information is expected to handle challenges in 2D face recognition and improve system performance. Extracting pure facial part in face point cloud is usually the first step in a 3D face recognition system, which was mainly operated by manual in most previous studies. In this paper we propose a fully automatic approach for pure face extrac...
Article
This paper presents a novel spherical harmonics transform based 3D local feature extraction method and its application in 3D ear recognition. At first, the scale of the 3D model is normalized and the 3D points are resampled. Then the centers of local spheres are localized through grid dividing. Finally, the local spherical harmonics features are ex...

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