Texture Mapping with a Jacobian-Based Spatially-Variant Filter
نویسندگان
چکیده
In this paper, we describe a new method to map a texture on a surface with a spatially-variant filter. Our filter takes into consideration the effects of anisotropy using a Jacobian approximation while computing the sampling rate, and the interpolation weights are computed with a sinc function. We also discuss how to do forward and backward mapping with the filter, and extend our algorithms to 3D meshes. Our experimental results verify our analysis.
منابع مشابه
Jacobian images of super-resolved texture maps for model-based motion estimation and tracking
We present a Kalman filter based approach to perform model-based motion estimation and tracking. Unlike previous approaches, the tracking process is not formulated as an SSD minimization problem, but is developed by using texture mapping as the measurement model in an extended Kalman filter. During tracking, a super-resolved estimate of the texture present on the object or in the scene is obtai...
متن کاملFirst Order Approximation for Texture Filtering
Texture mapping is a core technique in 3D graphics and is important for computer vision applications as well. The major challenge of texture mapping is high quality antialiasing at a reasonably high speed. Previous approaches do not address this problem adequately, since they do not precisely model the anisotropic and spatially variant nature in texture mapping. In this paper, we handle this pr...
متن کاملSuper-resolved texture tracking of planar surface patches
We present a novel approach to tracking planar surface patches over time. In addition to tracking a patch with full six degrees of freedom, the algorithm also produces a super-resolved estimate of the texture present on the patch. This texture estimate is kept as an explicit model texture image which is re ned over time. We then use it to infer the 3D motion of the patch from the image sequence...
متن کاملImage segmentation by spatially adaptive color and texture features
We present an image segmentation algorithm that is based on spatially adaptive color and texture features. The proposed algorithm is based on a previously proposed algorithm but introduces a number of new elements. We use a new set of texture features based on a steerable filter decomposition. The steerable filters combined with a new spatial texture segmentation scheme provide a finer and more...
متن کاملSpatially Adaptive Despeckling for Multi-look Polarimetric Synthetic Aperture Radar Imagery
A spatially adaptive speckle filtering approach for multi-look polarimetric synthetic aperture radar imagery is presented. The central idea of the proposed filter is that the filtering operations are performed spatially variant for image features, i.e. edges, lines and point-like textural features, in order to preserve them. For homogeneous areas, the filtering is based on scattering properties...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2002