Shape from shading deep learning
Webb1 nov. 2024 · Shape-From-Shading (SFS) is one unique and long-standing problem aiming to reconstruct shape/depth from only one image. ... terms of the output data with … http://sciinstitute.github.io/ShapeWorks/deep-learning/data-augmentation
Shape from shading deep learning
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Webb18 okt. 2024 · In this work, the researchers turned to a well-known technique in machine learning, Generative Adversarial Network (GAN), for unpaired general-purpose shape … Webb1 aug. 1999 · C.H. Lee and A. Rosenfeld, “Improved Methods of Estimating Shape from Shading Using the Light Source Coordinate System,” Artificial Intelligence, vol. 26, pp. 125-143, 1985. Google Scholar Digital Library; D. Lee, “A Provably Convergent Algorithm for Shape from Shading,” IEEE Proc. Computer Vision and Pattern Recognition, pp. 478-485, …
WebbIn this paper, we propose a method to recover high-frequency shapes from images using deep learning, where the shapes are measured by a 3D reconstruction method using structured light. Since RGB images contain the shading information of the object surface, the surface shape can be estimated from the shading.
WebbShape and light directions from shading and polarization, (2015) Polarized 3d: High-quality depth sensing with polarization cues, (2015) Direct method for shape recovery from … WebbDeep Learning, Robotic Vision, Relocalisation, Graph Matching, RGB-D and Visual SLAM, Multi-view Geometry, Shape from Shading Specialities: Pytorch, Tensorflow ...
WebbIn this paper, we address the shape-from-shading problem by training deep networks with synthetic images. Unlike conventional approaches that combine deep learning and …
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