A novel controi method for positioning operations of deformable objects will be presented. In many manipulative operations of deformable objects, it is required to guide multiple points on an object simultaneously. Moreover, the points often cannot be manipulated directly. A model of the manipulated deformable object is essential to perform these operations. It is, however, dificult to build a ...

Automatic estimation of mouth features is one of the important topics for face recognition and model–based coding of videophone sequences. In this contribution, an automatic mouth feature estimation algorithm which uses deformable templates is developed. Here, the mouth features are represented by the corner points of the mouth as well as the so called lip outline parameters. The lip outline pa...

Face diarization, i.e. face tracking and clustering within video documents, is useful and important for video indexing and fast browsing but it is also a difficult and time consuming task. In this paper, we address the tracking aspect and propose a novel algorithm with two main contributions. First, we propose an approach that leverages state-of-the-art deformable partbased model (DPM) face det...

Eye detection is an important step for a range of applications such as iris and face recognition. For eye detection in practice, speed is as equally important as accuracy. In this paper, we propose a super-fast (1000 fps on a general PC) eye detection method based on the label map of the raw image without face detection. We firstly produce the label map of a raw image according to the coordinat...

As a computational bridge between the high-level a priori knowledge of object shape and the low-level image data, active contours (or snakes) are useful models for the extraction of deformable objects. We propose an approach for manipulating multiple snakes iteratively, called interacting snakes, that minimizes the attraction energy functionals on both contours and enclosed regions of individua...

This chapter will review a particular approach to deformable face alignment coined constrained local models (CLM). The approach leverages the excellent generalisation properties of local appearance representations of parts and the strong global constraints imposed by the geometrical relationships between part locations. We begin by posing CLM in the general context of deformable face alignment,...

Deformable registration is ubiquitous in medical image analysis. Many deformable registration methods minimize sum of squared difference (SSD) as the registration cost with respect to deformable model parameters. In this work, we construct a tight upper bound of the SSD registration cost by using a fully convolutional neural network (FCNN) in the registration pipeline. The upper bound SSD (UB-S...

Biomechanically accurate finite element models of facial musculature offer a superior accuracy in reproducing facial expressions, the ability to adapt the simulation model to a particular subject as well as a compact and biophysically meaningful parameterization of expressions in terms of the muscle activations and bone motion that give rise to them. We employ such a finite element simulation m...

This paper describes a model-assisted system for reconstruction of 3D faces from a single consumer quality camera using a structure from motion approach. Typical multi-view stereo approaches use the motion of a sparse set of features to compute camera pose followed by a dense matching step to compute the final object structure. Accurate pose estimation depends upon precise identification and ma...

In this paper we compare the performance of face recognition systems based on two deformable shape models and on three classification approaches. Face contours have been extracted by using two methods: the Active Shapes and the Bayesian Tangent Shapes. The Normal Bayes Classifiers and the Minimum Distance Classifiers (based on the Euclidean and Mahalanobis metrics) have been designed and then c...