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Image Formation Process
Pyramid Dilated Deeper ConvLSTM for Video Salient Object Detection
This paper proposes a fast video salient object detection model, based on a novel recurrent network architecture, named Pyramid Dilated Bidirectional ConvLSTM (PDB-ConvL STM), which achieves state-of-the-art results on two popular benchmarks, well demonstrating its superior performance and high applicability.
A Level Set Approach to Image Segmentation With Intensity Inhomogeneity
The proposed level set method can be directly applied to simultaneous segmentation and bias correction for 3 and 7T magnetic resonance images and demonstrates the superiority of the proposed method over other representative algorithms.
Extraction of the Euclidean skeleton based on a connectivity criterion
A connectivity criterion is proposed, which can be used to determine whether a given pixel is a skeleton point independently, and is based on a set of point pairs along the object boundary, which are the nearest contour points to the pixel under consideration and its 8 neighbors.
Locating and extracting the eye in human face images
The corner detection scheme introduced in this paper can provide accurate information about the corners and accurately locate the templates in relation to the eye images and greatly reduce the processing time for the templates.
An efficient low bit-rate video-coding algorithm focusing on moving regions
A very low bit-rate video coding algorithm that focuses on moving regions is proposed, which gives better subjective and objective quality than that of the conventional coding methods at the same bit rate.
An efficient illumination normalization method for face recognition
An efficient representation method insensitive to varying illumination is proposed for human face recognition, which can effectively eliminate the effect of uneven illumination and greatly improve the recognition results.
An Analytic-to-Holistic Approach for Face Recognition Based on a Single Frontal View
  • K. Lam, Hong Yan
  • Computer Science
    IEEE Trans. Pattern Anal. Mach. Intell.
  • 1 July 1998
An analytic-to-holistic approach which can identify faces at different perspective variations is proposed, and it is shown that this approach can achieve a similar level of performance from different viewing directions of a face.
An efficient algorithm for human face detection and facial feature extraction under different conditions
An efficient algorithm for human face detection and facial feature extraction is devised using the genetic algorithm and the eigenface technique, and the lighting effect and orientation of the faces are considered and solved.
Gabor-based kernel PCA with doubly nonlinear mapping for face recognition with a single face image
  • Xudong Xie, K. Lam
  • Computer Science, Medicine
    IEEE Transactions on Image Processing
  • 1 September 2006
A novel Gabor-based kernel principal component analysis (PCA) with doubly nonlinear mapping with Eigenmask is proposed for human face recognition, which not only considers the statistical property of the input features, but also adopts an eigenmask to emphasize those important facial feature points.