A Set Of Textures Roof
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To add detail and realism to your models, SketchUp enables you to paint materials on faces. Materials are essentially paints that have a color and optional texture (defined within an image file). For example, in the following figure, the roofing material has a blue color and a texture that simulates metal roofing. The siding and grass are also materials that have a color and texture.
kenzo makino & associates has introduced their design for a roofing material molding factory, located in the harbor area in the northern part of kyoto, in japan. the building also functions as a sales office for a building material trading company, while at the same time, additional spatial programs are envisioned, such as exhibition halls.
eight monitor roofs stand on the main roof, gaining stable indirect light and ensuring ventilation from the north side. the roofs were set up to cover every other span and the bridge was passed through the center, so that the roofs look like a group of standing buildings from afar. with this formation, the effect of the sawtooth roof, which is typical in factory construction, is maintained. however, the form and meaning are changed from the jagged roof to the floating eight roofs, with each one covered with a different material.
Ground blending determines whether or not textures on tiles can blend with other adjacent tiles for a more fluid appearance. This option can be switched either off or on. Turning this option off forcibly disables textures.
I have a little issue with this roof for a castle. The Mapping for flat part of the roof is ok, but for the towers (cones) I dont know where to put the seam, I tried also in edit mode to just select the cone and then do a cone projection, but that doesnt work either...
The next objective was to develop a process to produce a low-glare finish on the alloy. InvariMatte® was specified but it had never been produced in a duplex alloy, although it had been used on austenitic Type 304 and Type 316 stainless. The methodology was established for the finish to be applied to the ATI 2003 lean duplex alloy. This cutting edge development has resulted in the first duplex roof with a rolled texture that also happens to be among the largest airport roofs in the world.
During the project, many things were learned and one in particular stands out. Halliday was on the roof in Doha when the temperature was 118°F and leaned over to touch the roof and was startled that the roof was not hot, but rather comfortable to the touch. He had been apprehensive when he realized he was wearing rubber soled shoes fearing they might melt in the intense heat and stick to the roof. Discussing his findings with Fred Deuschle, Exec. VP of Operations, the pair decided to find out why the stainless was not hot. They hired an independent Ph.D., Michael McGuire, an expert metallurgist who began to study the phenomenon.
The research determined that stainless steel plays a significant part in global cooling and conservation. The Solar Reflectance Index (SRI) of stainless steel is near perfect and does not deteriorate over time the way that white painted metals or membrane surfaces do, nor does it emit harmful Volatile Organic Compounds (VOCs). Painted surfaces lose about 5% of their solar reflectance each year resulting in significant degradation over time. In addition, stainless steel roofs and wall systems conserve energy and contribute an insulation value to an exterior cladding system.
Accumulated dirt on the surface of a building envelope will interfere with solar reflection. This is true of any material, including stainless steel. Since InvariMatte® is designed to shed dirt with its proprietary hydrophobic micro surface texture, its solar reflection efficiency is undisturbed over time. Contrarian tested three InvariMatte® roofs in different parts of the United Sates after 10 years in service that had not been cleaned and were unable to measure any degradation in solar reflectance compared to brand-new control samples.
This paper proposes a two-stage method for the reconstruction of city buildings with discontinuities and roof overhangs from oriented nadir and oblique aerial images. To model the structures the input data is transformed into a dense point cloud, segmented and filtered with a modified marching cubes algorithm to reduce the positional noise. Assuming a monolithic building the remaining vertices are initially projected onto a 2D grid and passed to RANSAC-based regression and topology analysis to geometrically determine finite wall, ground and roof planes. If this should fail due to the presence of discontinuities the regression will be repeated on a 3D level by traversing voxels within the regularly subdivided bounding box of the building point set. For each cube a planar piece of the current surface is approximated and expanded. The resulting segments get mutually intersected yielding both topological and geometrical nodes and edges. These entities will be eliminated if their distance-based affiliation to the defining point sets is violated leaving a consistent building hull including its structural breaks. To add the roof overhangs the computed polygonal meshes are projected onto the digital surface model derived from the point cloud. Their shapes are offset equally along the edge normals with subpixel accuracy by detecting the zero-crossings of the second-order directional derivative in the gradient direction of the height bitmap and translated back into world space to become a component of the building. As soon as the reconstructed objects are finished the aerial images are further used to generate a compact texture atlas for visualization purposes. An optimized atlas bitmap is generated that allows perspectivecorrect multi-source texture mapping without prior rectification involving a partially parallel placement algorithm. Moreover, the texture atlases undergo object-based image analysis (OBIA) to detect window areas which get reintegrated into the building models. To evaluate the performance of the proposed method a proof-of-concept test on sample structures obtained from real-world data of Heligoland/Germany has been conducted. It revealed good reconstruction accuracy in comparison to the cadastral map, a speed-up in texture atlas optimization and visually attractive render results.
This tutorial introduces the Material Editor, the master design studio for materials and maps. In the following tutorials, you will learn how to assign materials to objects, how to create basic materials, and how to apply textures.
One of the most important tasks in urban remote\r\nsensing is the detection of impervious surfaces \(IS\), such as roofs an\d\r\nroads. However, detection of IS in heterogeneous areas still remains\r\none of the most challenging tasks. In this \study, detection of concrete\r\nroof using an object-based approach was proposed. A new rule-based\r\nclassification was\ developed to detect concrete roof tile. This\r\nproposed rule-based classification was applied to WorldView-2\r\nimage \and results showed that the proposed rule has good potential to\r\npredict concrete roof material from WorldView-2 images, w\ith 85%\r\naccuracy. 2b1af7f3a8