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Industrial product design is characterized by increasing complexity due to the high number of involved parameters, objectives, and boundary conditions, all typically changing over time. Population-based evolutionary design optimization targets to solve these kinds of application problems, offering efficient algorithms striving for high-quality solutions. An important factor in the optimization setup...
The effect of capillary-to-capillary variation on the robustness of a fine pitch wire bonding process is studied using an analytical model developed with the goal to make predictions with respect to the shape of the bonded ball and the capillary tip geometry and tolerances for fine pitch ball bonding. The model includes stepwise deformation of the ball which is calculated based on concepts such as...
In this work, we exploit 3D Constrained Local Model (CLM) for facial landmark detection. Our approach integrates the geometric information of 3D face scans. The fast increase demand of 3D data invite to develop 3D image processing methods for many applications and especially for automatic landmark detection. The new step in this paper is the introduction of mesh histogram of gradients (meshHOG) as...
This paper describes an on-line approach for estimating non-rigid shape and camera pose from monocular video sequences. We assume an initial estimate of the shape at rest to be given and represented by a triangulated mesh, which is encoded by a matrix of the distances between every pair of vertexes. By applying spectral analysis on this matrix, we are then able to compute a low-dimensional shape basis,...
This paper presents a method to analyse 3D planar surfaces and to measure variations on it. The method is oriented to the detection of deformations on the elastic object surfaces formed by flat faces. These deformations are usually caused when two bodies, a solid and another elastic object, come in contact and there are contact pressures among their faces. Our method describes a strategy to model...
Detection and segmentation are two strongly correlated tasks, yet typically solved separately with different techniques for repetitive patterns or simultaneously solved for generic patterns. We propose a Simultaneous Detection and Segmentation model for Repetitive pattern analysis (SimDSR) in real-world images. The proposed SimDSR model implements a joint patch-contour alignment between the multi-scale...
This paper will consider a framework for simulation of musculoskeletal system via mass-spring system as the target application. The framework uses a mass-spring systems to simulate the muscle fibres of each muscle and an additional triangle model to visually represent the surface of the muscles. This requires establishing some relationship between the two models so that when some nodes of the mass-spring...
Knowledge of the physical properties of objects is essential in a wide range of robotic manipulation scenarios. A robot may not always be aware of such properties prior to interaction. If an object is incorrectly assumed to be rigid, it may exhibit unpredictable behavior when grasped. In this paper, we use vision based observation of the behavior of an object a robot is interacting with and use it...
This paper describes facial caricature drawing reflecting impression of a model's face. For caricature drawing the following information is expressed by words: A hair style, a gender of a model, facial features such as a face shape, eyes, eyebrows, a mouth, ears, impression of a face and the part of a face drawn using the deformation style. The part of a face expressed exaggeratedly is drawn using...
Nowadays, facial expression synthesis is widely used in expression simulation, recognition and animation. Texture feature (wrinkle) after face deformation largely reflects the genuineness of the synthesized expression, whose mapping is a critical step to the expression synthesis application. However, current lighting ratio based wrinkle mapping is sensitive to small source lighting and large lighting...
Artistic effects of Chinese character deformation have been attracting more and more attention, especially in the fields of films, TV programs and games. In this paper, we introduce a fast and effective Chinese character deformation method based on smoke simulation. During the smoke simulation, an external force field is generated according to current state frame by frame and this force field controls...
Robotic manipulation of deformable objects remains a challenging task. One such task is folding a garment autonomously. Given start and end folding positions, what is an optimal trajectory to move the robotic arm to fold a garment? Certain trajectories will cause the garment to move, creating wrinkles, and gaps, other trajectories will fail altogether. We present a novel solution to find an optimal...
Paper folding is one of the most difficult tasks for multi-fingered robot hands because paper is deformable and its stiffness distribution is nonuniform. In this study, we aimed to achieve dexterous paper folding by extracting some dynamic motion primitives. Each primitive contains visual or force information, a physical model of a sheet of paper is used for analyzing its deformation, and a machine...
Understanding social signals is a very important aspect of human communication and interaction and has therefore attracted increased attention from various research areas. Among the different types of social signals, particular attention has been paid to facial expression of emotions and its automated analysis from image sequences. Automated facial expression analysis is a very challenging task due...
Injuries of the bony orbit, which contains the eye, not only have aesthetic implications but also impair stereoscopic vision. Different techniques are used for surgical treatment. In this work we will present a tool that allows the reliable segmentation of the reconstructed and the unaffected orbit. For this we present a novel anterior closing that follows the clinical understanding of anatomy. To...
The problem of fitting a 3D facial model to a 3D mesh has received a lot of attention the past 15–20 years. The majority of the techniques fit a general model consisting of a simple parameterisable surface or a mean 3D facial shape. The drawback of this approach is that is rather difficult to describe the non-rigid aspect of the face using just a single facial model. One way to capture the 3D facial...
We propose an intuitive user interaction system with virtual objects by directly using user's hands through a physics simulation. This system aims to provide a more direct way to manipulate and interact with virtual objects and to induce more realistic reactions of the virtual objects in the interaction than the existing methods. The key contribution of this paper is to model the deformations of the...
Automated and accurate cell segmentation provides support for many quantitative analyses on digitized neuroendocrine tumor (NET) images. It is a challenging task due to complex variations of cell characteristics. In this paper, we incorporate unsupervised shape priors into an efficient repulsive deformable model for automated cell segmentation on NET images. Unlike other supervised learning based...
Glaucoma, a leading cause of blindness worldwide, can be detected using retinal thicknesses from spectral-domain optical coherence tomography (SD-OCT) scans of the macula. We calculate the desired thickness maps as the distance between the inner-limiting membrane (ILM) and retinal pigmented epithelium (RPE) of the retina. To delineate these two layers, we use a set of two deformable open surfaces...
Occlusion presents a major challenge in visualizing 3D flow fields using streamlines. Displaying too many streamlines creates a dense visualization filled with occluded structures, but displaying too few streams risks losing important features. A more ideal streamline exploration approach is to visually manipulate the cluttered streamlines by pulling visible layers apart and revealing the hidden structures...
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