Event cameras, characterized by their low power consumption, expansive dynamic range, and high temporal resolution, have attracted great attentions in various computer vision tasks. Compared to frame-based cameras, event cameras exemplify a marked ...

Scene-flow (SF) estimation is considered to be one of the most fundamental problems in scene understanding and autonomous control. The majority of the existing methods adopted for SF estimation suffer lack of robustness in some environments and ...

The physically based deformable curve models are widely used to simulate thin one-dimensional objects in computer graphics, interactive simulation, and surgery simulation. These models consider objects to be rods described by an adapted frame ...

Human motion prediction in various motion capture applications, e.g., optical and inertial, is challenging because of the complexity of human motion sequences. Current studies on this issue have insufficient analysis on the latent motion ...

We present an automated framework founded on texture transfer, facilitating the substitution of textures in garment images with specified ones for applications in garment design and online presentation. In contrast to previous methodologies, our ...

Animation compression is a key process in replicating and streaming animated 3D models. Linear Blend Skinning (LBS) facilitates the compression of an animated sequence while maintaining the capability of real-time streaming by deriving vertex to ...

Decorative plants require skillful pruning by gardeners. However, conventional plant modeling techniques have focused only on the biological growth rules of wild plants and do not yet consider artificial care. In this study, an interactive system ...

Deep learning algorithms have made significant progress for deblurring in dynamic scenes. However, most of the existing image deblurring methods use a single blurry image as the input of the algorithm, which limits the acquisition of information ...

Given an unordered list of 2D or 3D point trajectories corrupted by noise and partial observations, in this paper we introduce a framework to simultaneously recover the incomplete motion tracks and group the points into spatially and temporally ...

We present a novel compositing framework for full-length human figures that maintains their surface details and appends the localized nature of light and shadow, thereby synthesizing composite results with high visual coherence. The framework is ...

Small motion can be induced from burst video clips captured by a handheld camera when the shutter button is pressed. Although uncalibrated burst video clip conveys valuable parallax information, it generally has small baseline between frames, ...

Performance analysis, as related to sport, is a process underpinned by a systematic analysis of information, to accelerate the performance of athletes through crafted focused practice session based on the obtained analysis. Quantification of ...

The goal of non-rigid point set registration is to estimate the optimal correspondence between points, and then recover the non-rigid deformation between point sets in a specific way, typically by using a set of complex interpolation functions. ...

The linked voxel model is commonly used to simulate real-time interactive cutting of deformable objects. Previous methods use a single level of voxels and result in tight coupling between collision and rendering. In this paper, a novel method ...

Action understanding in videos is a challenging task that has attracted widespread attention in recent years. Most current methods localize bounding box of actors at frame level, and then track or link these detections to form action tubes across ...

In Eulerian methods, the simulation of an incompressible fluid field requires a pressure field solution, which takes a large amount of time and computation resources to solve a large coarse linear system. The pressure solver has two mathematical ...

The weighted median filter and the guided image filter are considered important methods for the recently popular variational and non-local total variational optical flow estimation. Their attractive advantages are that outlier reduction is ...

Automated crowd behaviour analysis and monitoring is a challenging task due to the unpredictable nature of the crowd within a particular scene and across different scenes. The prior knowledge of the type of scene under consideration is a crucial ...