One important problem in human brain mapping research is to locate the important anatomical features. Anatomical features on the cortical surface are usually represented by landmark curves, called sulci/gyri curves. These landmark curves are important information for neuroscientists to study brain disease and to match different cortical surfaces. Manual labelling of these landmark curves is tim...

Facial landmark detection is an essential initial step for a number of facial analysis research areas such as expression analysis, 3D face modeling, facial attribute analysis, and person recognition. It is a well researched problem that has seen a surge of interest in the past couple of years. However, most state-of-the-art methods still struggle in the presence of extreme head pose, especially...

OBJECTIVE The aim of this study is to find out if an ultrasound technique has advantages over the conventional landmark technique. METHODS This is a prospective randomized comparative study on 120 patients requiring central venous cannulation of the right internal jugular vein. The study comprised of two groups: ultrasound and landmark groups, each consisting of 60 patients. The outcome measu...

We present two techniques to improve landmark localization in images from partially annotated datasets. Our primary goal is to leverage the common situation where precise landmark locations are only provided for a small data subset, but where class labels for classification or regression tasks related to the landmarks are more abundantly available. First, we propose the framework of sequential ...

Nearest-neighbor (NN) classification has been widely used in many research areas, as it is a very intuitive technique. As long as we can defined a similarity or distance between two objects, we can apply NN, therefore making it suitable even for non-vectorial data such as graphs. An alternative to NN is the dissimilarity space [2], where distances are used as features, i.e. an object is represe...