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Human pose estimation and semantic part segmentation are two complementary tasks in computer vision. In this paper, we propose to solve the two tasks jointly for natural multi-person images, in which the estimated pose provides object-level shape prior to regularize part segments while the part-level segments constrain the variation of pose locations. Specifically, we first train two fully convolutional...
We present a technique for semi-automatically super-deforming 3D character models. Super deformation is a unique style of exaggeration, often seen in Japanese animation and manga, to enhance characters' cute appearances. Specifically, super-deformed (SD) characters are chubby with stubby limbs and oversized heads. Given a reference SD model with a rig and a target character model, our method automatically...
Recovering object pose is of great importance to many higher level tasks such as robotic manipulation, scene understanding and augmented reality to name a few. Following the recent major breakthroughs in many computer vision tasks made by the deep learning, intensive research to experiment with it also in the task of recovering object pose is conducting. This paper aims to review the state-of-the-art...
Sine-triangle Pulse Width Modulation (SPWM) and Space Vector Pulse Width Modulation (SVPWM) techniques are widely used in the control of inverters. With the introduction of multi-level inverters, the use of carrier based SVPWM has gained popularity as this method is capable of dealing with the complexity brought about by the large number of voltage vectors. This paper presents the concept of carrier...
An improvement in the resonant microcantilever-based sensor's sensitivity is proposed by varying the microcantilever weight distribution. The relationship between the resonant frequency of different microcantilevers and their dimensions is investigated using the analytical method and finite element method. The principle to increase the resonant frequency drift when the target gas is absorbed by the...
PASCAL VOC Segmentation Challenge [10] is currently considered as one of the datasets that reflect the image segmentation difficulties for real world scenarios [29]. However, current evaluation is simply based on a single Inter-section Over Union (IOU) score. In this paper, we try to discover the error factors under the IOU, which makes the results more informative to understand rather than a black...
Effective information retrieval on handwritten document images has always been a challenging task, especially historical ones. In the paper, we propose a coarse-to-fine handwritten word spotting approach based on graph representation. The presented model comprises both the topological and morphological signatures of the handwriting. Skeleton-based graphs with the Shape Context labelled vertexes are...
Effective information retrieval on handwritten documentimages has always been a challenging task. In this paper, we propose a novel handwritten word spotting approach based on graph representation. The presented model comprises both topological and morphological signatures of handwriting. Skeleton-based graphs with the Shape Context labelled vertexes are established for connected components. Each...
In this paper, we propose an original representation model for handwriting document images. Most state-of-the-art handwriting representation models only use separately textural properties, selective dominant features (such as stroke orientation or gradient orientation) or structural properties. To avoid the drawbacks of using the properties from a single aspect, we design a comprehensive model that...
Over-segments (i.e. superpixels) have been commonly used as supporting regions for feature vectors and primitives to reduce computational complexity in various image analysis tasks. In this paper, we describe a structuresensitive over-segmentation technique by exploiting Lloyd's algorithm with a geodesic distance. It generates smaller superpixels to achieve lower under-segmentation in structure-dense...
The endocardium tracking in ultrasound images is challenging due to large shape variations and the signal dropout. In this paper, we present a method to fuse multiple information sources to robustly track the endocardium. The first novelty of the method is to perform tracking in a straightened shape space, to minimize the image pattern changes caused by cardiac motions. Straightened images are used...
In geographical information system, geographical curves expressed by curve will become a trend. In this paper, based on the study of features of the tension spline and Bezier curve, it is proposed for geographical curve a new method and corresponding computing formula. In the method, we first fit the geographical curve by the tension spline, and the tension spline is divided by characteristic points,...
This paper studies the uncertainties in component reliability estimation and their impact on system reliability prediction. Monte Carlo simulations (i.e. sampling-based methods) are used to investigate the correlation between system complexity and component lifetime distributions. We focus on the applications where component lifetimes can be modeled by Weibull distributions, but their parameters involve...
A guidewire is a medical device inserted into vessels during image guided interventions for balloon inflation. During interventions, the guidewire undergoes non-rigid deformation due to patients' breathing and cardiac motions, and such 3D motions are complicated when being projected onto the 2D fluoroscopy. Furthermore, in fluoroscopy there exist severe image artifacts and other wire-like structures...
It is a great interest in achieving a practical approach to predict and assess the dynamical behavior of UUV (Unmanned Underwater Vehicle) during incautious water entry or its launching. In this paper the oblique water-entry impacting model of UUV is established based on exact body shape approach during the initial stage of UUVpsilas entering the water surface. In the theoretic model a wetted correction...
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