This paper integrates Markov random fields (MRFs) with type-2 fuzzy sets (T2 FSs) referred to as T2 FMRFs, which can handle the fuzziness of the labeling space as well as the rand...
This paper presents Markov random fields (MRFs) to segment strokes of Chinese characters. The distortions caused by the thinning process make the thinning-based stroke segmentatio...
At present, the object categorisation literature is still dominated by the use of individual class detectors. Detecting multiple classes then implies the subsequent application of...
Esther Koller-Meier, Luc J. Van Gool, Philipp Zehn...
Face is a perceptually symmetric object; however, it often appears not so in captured image due to the rotation in depth within the 3D space. In this paper, we explore the invaria...
Current semi-supervised incremental learning approaches select unlabeled examples with predicted high confidence for model re-training. We show that for many applications this dat...
The co-occurring patterns in a group carrying the traits of common origin are statistically dependent via an underlying style context. Exploiting style consistency in groups of pa...
Content-based Image Retrieval (CBIR) is a computer vision application that aims at automatically retrieving images based on their visual content. Linear Discriminat Analysis and i...
In this paper, we propose a robust and efficient algorithm for generalized orthonormal discriminant vectors (GODV). The major advantage of the proposed method is the use of the ra...
Many of the existing image processing applications, in particular the construction of super-resolution videos, require an accurate high-speed motion tracking algorithm. This paper...
Kin-hong Wong, Michael Ming-Yuen Chang, Siu-Hang O...