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Jigsaw puzzle is one of the brain game, which is used in many applications, such as, in archeology, biology, games, and other life issues. There are important things that fail from the setting of the puzzle it self, for example on its pieces of the jigsaw puzzle. In this paper, the researchers analyze the set of the square jigsaw puzzle that is already arranged but has one or more missing pieces....
Rolling force prediction is very important in hot strip rolling process, and neural network is an effective tool for it. As the rolling force can be decomposed into several components, a rolling force predictor consisting of three radial basis function neural networks is built. Each of the networks predicts one component. An improved wavelet transform algorithm is first applied to decompose the historical...
This paper introduces a shape from shading algorithm which adopts a hybrid reflectance model and neural networks. Different from traditional neural-network-based algorithms, this algorithm considers both of the diffuse and specular reflections; on the other hand, also different from traditional hybrid-reflectance-modeled algorithms, this algorithm can adjust the surface albedo and the combination...
This paper presents an integrated algorithm for 3D reconstruction, which includes the estimation of parameters and shape from shading. The parameters, that are the illuminant direction and albedo, are estimated from the statistics of image intensities. The shape from shading algorithm is implemented with a minimum downhill principle on the Lambertian reflectance model. Furthermore, this paper proposes...
This paper introduces a shape from shading (SFS) system, which is based on a neural learning algorithm. The system takes a single image of an object with a CCD camera and then reconstructs the object surface with a neural-learning-based SFS algorithm. This SFS algorithm solves and optimizes the neural elements, named network weights, by minimizing the cost function that is composed of the intensity...
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