In this paper we present PhotoPath, an image synthesis technique that allows the visualization of paths through real world environments in a single intuitive picture. Given a series of input photographs taken with a h...
详细信息
ISBN:
(纸本)9788086943886
In this paper we present PhotoPath, an image synthesis technique that allows the visualization of paths through real world environments in a single intuitive picture. Given a series of input photographs taken with a hand-held camera along the path, our method generates an image that creates the impression of looking along the path all the way to the destination regardless of any curves or corners in the route. Rendered from a pedestrian perspective, this visualization supports intuitive wayfinding and orientation while avoiding occlusion of path segments in the image. Our approach intentionally avoids an involved and error-prone scene reconstruction. Instead we advocate the use of planar geometry proxies estimated from the sparse point-cloud obtained with Structure-from-Motion. The proxy geometry is spatially deformed in order to align the curved path with the straight viewing direction of the synthesized view. Finally, we propose a novel image composition algorithm accommodating for parallax and occlusion artifacts due to the approximation errors of the actual scene geometry.
Identity-invariant estimation of head pose from still images is a challenging task due to the high variability of facial appearance. We present a novel 3D head pose estimation approach, which utilizes the flexibility ...
详细信息
This paper presents a method for constructing consistent non-manifold meshes of multi-labeled volu-metric datasets. This approach is different to traditional surface reconstruction algorithms which often only support ...
详细信息
ISBN:
(纸本)8090310079
This paper presents a method for constructing consistent non-manifold meshes of multi-labeled volu-metric datasets. This approach is different to traditional surface reconstruction algorithms which often only support extracting 2-manifold surfaces based on a binary voxel classification. However, in some -especially medical - applications, multi-labeled datasets, where up to eight differently labeled voxels can be adjacent, are subject to visualization resulting in non-manifold meshes. In addition to an efficient surface reconstruction method, a constrained geometric filter is developed which can be applied to these non-manifold meshes without producing ridges at mesh junctions. Copyright UNION Agency - science Press.
An interesting class of materials are metallic and pearlescent paints. They pose serious challenges to computergraphics since they have high frequencies in both angular and spatial domain, have a complex, pure stocha...
详细信息
ISBN:
(纸本)9783980487481
An interesting class of materials are metallic and pearlescent paints. They pose serious challenges to computergraphics since they have high frequencies in both angular and spatial domain, have a complex, pure stochastic spatial structure and angular dependent color shifts. Hybrid approaches that combine model and image-based representations have proven to faithfully reproduce metallic and pearlescent paint by compressing measured data. But until now the compression of the image based part is done with PCA based methods resulting in high amounts of data. One additional problem is the angular sampling of the measured data. Typical angular sampling densities of image based reflectance acquisition devices are very low compared to the solid angle, in which a metallic flake is visible, resulting in severe undersampling of the angular frequencies. We propose a simple method to measure these frequencies generated by the metallic flakes. Furthermore, we present a novel representation for metallic and pearlescent paint that allows resampling in angular domain corresponding to the flake properties and compression of measured image based paint data for high-quality paint rendering.
The presented work is motivated by the problem of restoring severely degraded historic video material via an optical flow-based interpolation. In order to increase the robustness as well as the accuracy of discontinui...
详细信息
Facial image analysis is an important computer vision topic as a first step for biometric applications like face recognition/verification. The ICAO specification defines criteria to assess suitability of facial images...
详细信息
Extensions to the texture-mapping support of the abstract graphics hardware pipeline and the OpenGL API are proposed to better support programmable shading, with a unified interface, on a variety of future graphics ac...
详细信息
Modelling and reconstruction of tubular objects is a known problem in computergraphics. For computer aided surgical planning the constructed geometrical models need to be consistent and compact at the same time, whic...
详细信息
ISBN:
(纸本)8090310079
Modelling and reconstruction of tubular objects is a known problem in computergraphics. For computer aided surgical planning the constructed geometrical models need to be consistent and compact at the same time, which known approaches cannot guarantee. In this paper we present a new method for generating compact, topologically consistent, 2-manifold surfaces of branching tubular objects using a two-stage approach. The proposed method is based on connection of polygonal cross-sections along the medial axis and subsequent re nement. Higher order furcations can be handled correctly. Copyright UNION Agency science Press.
This paper introduces a novel 3D interest point detector and feature representation for describing image sequences. The approach considers image sequences as spatiotemporal volumes and detects Maximally Stable Volumes...
详细信息
On the base of the method of Support vec- tor data description (SVDD), this paper proposes a SVDD method based on maximum distance between two centers of spheres. It applies two hyperspheres to separate two kinds of t...
详细信息
On the base of the method of Support vec- tor data description (SVDD), this paper proposes a SVDD method based on maximum distance between two centers of spheres. It applies two hyperspheres to separate two kinds of training instance and maximize distance between two centers of hyperspheres at the same time. Experimen- tal results show that the method is effective, especially for unbalance problem, our method can get better results than all other methods.
暂无评论