1 This research is supported by the President Foundation of the Institute of Acoustics, Chinese Academy of Sciences (No.98-02) and “863” High Tech R&D Project of China (No. 863-306-ZD-11-1). ABSTRACT Visual feature extraction method now becomes the key technique in automatic speechreading systems. However it still remains a difficult problem due to large inter-person and intraperson appearance ...

An articulated shape is composed of a set of rigid parts connected by some flexible junctions. The junction has been demonstrated to be a critical local feature in many visual tasks such as feature recognition, segmentation, matching, motion tracking and functional prediction. However, efficient description and detection of junctions still remain a research challenge due to high complexity of a...

Handwritten automatic character recognition has attracted many researchers all over the world to contribute automatic character recognition domain. Shape identification and feature extraction is very important part of any character recognition system and success of method is highly dependent on selection of features. However feature extraction is the most important step in defining the shape of...

We discuss the shape dependence of the finite-size scaling limit in a strongly anisotropic O(N) model in the large-N limit. We show that scaling is observed even if an incorrect value for the anisotropy exponent is considered. However, the related exponents may only be effective ones, differing from the correct critical exponents of the model. We discuss the implications of our results for nume...

This paper presents a method to estimate human body and head orientation change around yaw axis from low-resolution data. Body orientation is calculated by using Shape Context algorithm to match the outline of upper body with predefined shape templates within the ranges of 22.5 degrees. Then, motion flow vectors of SIFT features around head region are utilized to estimate the change in head ori...

We present an efficient method of fitting a set of local feature models to an image within the popular Active Shape Model (ASM) framework [3]. We compare two different types of non-linear boosted feature models trained using GentleBoost [9]. The first type is a conventional feature detector classifier, which learns a discrimination function between the appearance of a feature and the local neig...

Solar flares are caused by magnetic eruptions in active regions (ARs) on the surface of sun. These events can have significant impacts human activity, many which be mitigated with enough advance warning from good forecasts. To date, machine learning-based flare-prediction methods employed physics-based attributes AR images as features; more recently, there has been some work that uses features ...