Texture and Relief Estimation from Multiple Georeferenced Images
نویسندگان
چکیده
1-3 (a): hemispherical tiling used for node acquisition; (b): textured hemispher-1-4 (a): the sweep-plane algorithm; (b): the recovered model (not textured).. . 2-2 (a): the position of the camera (red) and of the facade (white) in the modeled environment. The building in the foreground is projected onto the facade; (b): a color image showing the warped image; (c): the binary corresponding 2-3 (a): the position of the camera (red) and of the facade (white) in the modeled environment; (b): a color image showing low effective resolution at the left of the image due to projective distortion; (c): the corresponding Obliqueness 2-8 (a): result with median algorithm (b): result with improved algorithm. .. 24 2-9 Warped images and result after the process of the algorithm for one facade. 26 2-10 Warped images and result after the process of the algorithm for another facade. 27
منابع مشابه
Illumination-Invariant Texture Classification Using Single Training Images
The appearance of a surface texture is highly dependent on illumination. This is why current surface texture classification methods require multiple training images captured under a variety of illumination conditions for each class. We show that a single training image per class can be sufficient if the surfaces are of uniform albedo and smooth and shallow relief, and the illumination is suffic...
متن کاملFast and Accurate Visibility Computation in Urban Scenes
This paper presents a method to efficiently compute the visibility of a 3D model seen from a series of calibrated georeferenced images. This is required to make methods aimed at enriching 3D models (finer reconstruction, texture mapping) based on such images scalable. The method consists in rasterizing the scene on the GPU from the point of views of the images with a known mapping between color...
متن کاملAutomated Detection of Multiple Sclerosis Lesions Using Texture-based Features and a Hybrid Classifier
Background: Multiple Sclerosis (MS) is the most frequent non-traumatic neurological disease capable of causing disability in young adults. Detection of MS lesions with magnetic resonance imaging (MRI) is the most common technique. However, manual interpretation of vast amounts of data is often tedious and error-prone. Furthermore, changes in lesions are often subtle and extremely unrepresentati...
متن کاملDepth Estimation for Lytro Images by Adaptive Window Matching on EPI
A depth estimation algorithm from plenoptic images is presented. There are two stages to estimate the depth. First is the initial estimation base on the epipolar plane images (EPIs). Second is the refinement of the estimations. At the initial estimation, adaptive window matching is used to improve the robustness. The size of the matching window is based on the texture description of the sample ...
متن کاملHardware-Assisted Relief Texture Mapping
Image-Based Rendering by Warping (IBRW) creates three-dimensional scene by deforming several 2D images with depth information. Image-based rendering has an advantage compared to traditional polygon rendering that the rendering time is still constant even if a scene becomes complex. Relief texture mapping decomposes IBRW into a very simple 1D image operation and a traditional texture mapping, wh...
متن کامل