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[Other resource] surfacenormals DL : 0: shapeletsurf.m :通过表面法向量重建三维表面； frankotchellappa.m：用Frankot and Chellappa的算法重建可积性三维表面； grad2slanttilt.m:根据梯度值求取slant 和tilt角； slanttilt2grad.m ：根据slant 和tilt角度求三维表面的梯度。详尽的可见压缩文件中的说明-shapeletsurf.m : France Vector surface reconstruction of 3D surface; frankotchellappa.m : Chellappa with Frankot and reconstruction algorithms can plot three-dimensional surface; grad2slanttilt.m : gradient values strike slant and tilt angle; slanttilt2grad.m : slant and the tilt angle for 3D surface gradient. Detailed Visibility compressed files of note
Date : 2008-10-13 Size : 12.67kb User : 陈亨利
[3D Graphic] surfacenormals DL : 0: shapeletsurf.m :通过表面法向量重建三维表面； frankotchellappa.m：用Frankot and Chellappa的算法重建可积性三维表面； grad2slanttilt.m:根据梯度值求取slant 和tilt角； slanttilt2grad.m ：根据slant 和tilt角度求三维表面的梯度。详尽的可见压缩文件中的说明-shapeletsurf.m : France Vector surface reconstruction of 3D surface; frankotchellappa.m : Chellappa with Frankot and reconstruction algorithms can plot three-dimensional surface; grad2slanttilt.m : gradient values strike slant and tilt angle; slanttilt2grad.m : slant and the tilt angle for 3D surface gradient. Detailed Visibility compressed files of note
Date : 2025-07-06 Size : 12kb User : 陈亨利
[Other] frankotchellappa DL : 0: An implementation of Frankot and Chellappa a algorithm for constructing an integrable surface from gradient information. matlab file
Date : 2025-07-06 Size : 1kb User : dhlee
[matlab] AgrawalECCV06CodeMFiles DL : 0: 从2D梯度域进行表面重建包含快速的泊松方程解法-A fast 2D Poisson Solver in Matlab using Neumann Boundary conditions , Implementation of Frankot-Chellappa Algorithm, Robust surface reconstruction using M-estimators, Anisotropic surface reconstruction
Date : 2025-07-06 Size : 17kb User : wang si
[matlab] shapletsurf DL : 0: Function reconstructs an estimate of a surface from its surface normals by correlating the surface normals with that those of a bank of shapelet basis functions. The correlation results are summed to produce the reconstruction. The sumation of shapelet basis functions results in an implicit integration of the surface while enforcing surface continuity. Note that the reconstruction is only valid up to a scale factor (which can be corrected for). However the reconstruction process is very robust to noise and to missing data values. Reconstructions (up to positive/negative shape ambiguity) are possible where there is an ambiguity of pi in tilt values. Low quality reconstructions are also possible with just slant, or just tilt data alone. However, if you have full gradient information you are better off with the Frankot Chellappa algorithm below.
Date : 2025-07-06 Size : 3kb User : seshu babu v
[matlab] Amit-Agrawal DL : 0: We propose a generalized equation to represent a continuum of surface reconstruction solutions of a given non-integrable gradient field. We show that common approaches such as Poisson solver and Frankot-Chellappa algorithm are special cases of this generalized equation.
Date : 2025-07-06 Size : 2.29mb User : 孙婷
[Special Effects] Frankot-Chellappa-algorithm. DL : 0: 三维图像表面高度恢复算法，采用Frankot-Chellappa 全局积分算法进行表面三维构造的重建-Three dimensional image surface height restoration algorithm, the use of Frankot-Chellappa global integral algorithm for three-dimensional reconstruction of the surface
Date : 2025-07-06 Size : 50kb User : 杨永利