Abstract: A method for generating a strategy of an object transport-and-pack process, and a computer device. The method includes: obtaining a priority diagram of a to-be-packed object set in an initial container; encoding the priority diagram; performing a convolution calculation by a neural network, and determining a current to-be-packed object; generating a packing sequence of to-be-packed objects in the to-be-packed object set; and determining a strategy of a packing process of the to-be-packed object set according to a packing target, the packing sequence of the to-be-packed objects, and a transport state of each to-be-packed object and a preset layout strategy.

Abstract: The present disclosure provides a three-dimensional point cloud model reconstruction method and a device.

Abstract: The present disclosure provides a navigation method based on a three-dimensional scene, comprising: calculating an interest value of a viewpoint of a camera based on heights, volumes, irregularities and uniqueness of buildings in a scene; generating trajectory parameters of the camera according to the interest value of the viewpoint, so as to navigate according to the trajectory parameters. The navigation method based on a three-dimensional scene of the present disclosure obtains a reasonable interest value of the viewpoint based on heights, volumes, irregularities and uniqueness of the buildings, thereby achieving a high-quality navigation.

Abstract: A method for reconstructing a three-dimensional model of point clouds includes following steps: a, scanning to obtain point clouds of an object required for a three-dimensional model reconstruction; b, analyzing quality of the obtained point clouds; c, computing a new scanning view based on the analyzed point clouds; d, scanning according to the new scanning view and updating the point clouds of step a based on point clouds obtained by the scanning according to the new scanning view in real time; and e, reconstructing a three-dimensional model according to the point clouds updated in real time. The invention further relates to a system for reconstructing a three-dimensional model of point clouds. The invention can realize full automatic reconstruction of a three-dimensional model and create a model of point clouds with high quality. In addition, the invention is easy to implement and can achieve high efficiency.

Abstract: The present disclosure provides a three-dimensional point cloud model reconstruction method, a computer readable storage medium and a device.

Abstract: The present disclosure provides a navigation method based on a three-dimensional scene, comprising: calculating an interest value of a viewpoint of a camera based on heights, volumes, irregularities and uniqueness of buildings in a scene; generating trajectory parameters of the camera according to the interest value of the viewpoint, so as to navigate according to the trajectory parameters. The navigation method based on a three-dimensional scene of the present disclosure obtains a reasonable interest value of the viewpoint based on heights, volumes, irregularities and uniqueness of the buildings, thereby achieving a high-quality navigation.

Abstract: A method for reconstructing a three-dimensional model of point clouds includes following steps: a, scanning to obtain point clouds of an object required for a three-dimensional modelreconstruction; b, analyzing quality of the obtained point clouds; c, computing a new scanning view based on the analyzed point clouds; d, scanning according to the new scanning view and updating the point clouds of step a based on point clouds obtained by the scanning according to the new scanning view in real time; and e, reconstructing a three-dimensional model according to the point clouds updated in real time. The invention further relates to a system for reconstructing a three-dimensional model of point clouds. The invention can realize full automatic reconstruction of a three-dimensional model and create a model of point clouds with high quality. In addition, the invention is easy to implement and can achieve high efficiency.

Abstract: Provided are an image restoration method and device. The method comprises: processing image blocks, which are initially registered, to acquire connection curves among the image blocks; constructing an ambient field of images to be restored by means of the connection curve; by minimizing energy of the connection curve in the ambient field, registering the image blocks; and performing image filling on the registered image blocks to acquire a restored image. The device comprises: a processing unit used for processing the image blocks, which are initially registered, to acquire the connection curve among the image blocks; an ambient field construction unit used for constructing the ambient field of the image to be restored by means of the connection curve; a registering unit used for registering the image blocks by minimizing the energy of the connection curve in the ambient field; and a filling unit used for performing image filling on the registered image blocks to acquire the restored image.

Abstract: Provided are an image restoration method and device. The method comprises: processing image blocks, which are initially registered, to acquire connection curves among the image blocks; constructing an ambient field of images to be restored by means of the connection curve; by minimizing energy of the connection curve in the ambient field, registering the image blocks; and performing image filling on the registered image blocks to acquire a restored image. The device comprises: a processing unit used for processing the image blocks, which are initially registered, to acquire the connection curve among the image blocks; an ambient field construction unit used for constructing the ambient field of the image to be restored by means of the connection curve; a registering unit used for registering the image blocks by minimizing the energy of the connection curve in the ambient field; and a filling unit used for performing image filling on the registered image blocks to acquire the restored image.

Abstract: A system and method implemented as a software tool for foreground segmentation of video sequences in real-time, which uses two Competing 1-class Support Vector Machines (C-1SVMs) operating to separately identify background and foreground. A globalized, weighted optimizer may resolve unknown or boundary conditions following convergence of the C-1SVMs. The objective of foreground segmentation is to extract the desired foreground object from live input videos, with fuzzy boundaries captured by freely moving cameras. The present disclosure proposes the method of training and maintaining two competing classifiers, based on Competing 1-class Support Vector Machines (C-1SVMs), at each pixel location, which model local color distributions for foreground and background, respectively. By introducing novel acceleration techniques and exploiting the parallel structure of the algorithm (including reweighing and max-pooling of data), real-time processing speed is achieved for VGA-sized videos.

Abstract: A system and method implemented as a software tool for generating alpha matte sequences in real-time for the purposes of background or foreground substitution in digital images and video. The system and method is based on a set of modified Poisson equations that are derived for handling multichannel color vectors. Greater robustness is achieved by computing an initial alpha matte in color space. Real-time processing speed is achieved through optimizing the algorithm for parallel processing on the GPUs. For online video matting, a modified background cut algorithm is implemented to separate foreground and background, which guides the automatic trimap generation. Quantitative evaluation on still images shows that the alpha mattes extracted using the present invention has improved accuracy over existing state-of-the-art offline image matting techniques.

Abstract: A system and method implemented as a software tool for generating alpha matte sequences in real-time for the purposes of background or foreground substitution in digital images and video. The system and method is based on a set of modified Poisson equations that are derived for handling multichannel color vectors. Greater robustness is achieved by computing an initial alpha matte in color space. Real-time processing speed is achieved through optimizing the algorithm for parallel processing on the GPUs. For online video matting, a modified background cut algorithm is implemented to separate foreground and background, which guides the automatic trimap generation. Quantitative evaluation on still images shows that the alpha mattes extracted using the present invention has improved accuracy over existing state-of-the-art offline image matting techniques.