In a computer-implemented method and system for capturing the condition of a structure, the structure is scanned with an unmanned aerial vehicle (UAV). Data collected by the UAV corresponding to points on a surface of a structure is received and a 3D point cloud is generated for the structure, where the 3D point cloud is generated based at least in part on the received UAV data. A 3D model of the surface of the structure is reconstructed using the 3D point cloud.

In a computer-implemented method and system for capturing the condition of a structure, the structure is scanned with an unmanned aerial vehicle (UAV). Data collected by the UAV corresponding to points on a surface of a structure is received and a 3D point cloud is generated for the structure, where the 3D point cloud is generated based at least in part on the received UAV data. A 3D model of the surface of the structure is reconstructed using the 3D point cloud.

A CNN operates on the disparity or motion outputs of a block matching hardware module, such as a DMPAC module, to produce refined disparity or motion streams which improve operations in images having ambiguous regions. As the block matching hardware module provides most of the processing, the CNN can be small and thus able to operate in real time, in contrast to CNNs which are performing all of the processing. In one example, the CNN operation is performed only if the block hardware module output confidence level is below a predetermined amount. The CNN can have a number of different configurations and still be sufficiently small to operate in real time on conventional platforms.

A CNN operates on the disparity or motion outputs of a block matching hardware module, such as a DMPAC module, to produce refined disparity or motion streams which improve operations in images having ambiguous regions. As the block matching hardware module provides most of the processing, the CNN can be small and thus able to operate in real time, in contrast to CNNs which are performing all of the processing. In one example, the CNN operation is performed only if the block hardware module output confidence level is below a predetermined amount. The CNN can have a number of different configurations and still be sufficiently small to operate in real time on conventional platforms.

The subject disclosure is directed towards a framework that is configured to allow different background-foreground segmentation modalities to contribute towards segmentation. In one aspect, pixels are processed based upon RGB background separation, chroma keying, IR background separation, current depth versus background depth and current depth versus threshold background depth modalities. Each modality may contribute as a factor that the framework combines to determine a probability as to whether a pixel is foreground or background. The probabilities are fed into a global segmentation framework to obtain a segmented image.

The subject disclosure is directed towards a framework that is configured to allow different background-foreground segmentation modalities to contribute towards segmentation. In one aspect, pixels are processed based upon RGB background separation, chroma keying, IR background separation, current depth versus background depth and current depth versus threshold background depth modalities. Each modality may contribute as a factor that the framework combines to determine a probability as to whether a pixel is foreground or background. The probabilities are fed into a global segmentation framework to obtain a segmented image.

A synchronization control apparatus includes a control unit configured to control a plurality of imaging devices that capture an image, and a determination unit configured to determine a target region from which an image is acquired from each of the plurality of imaging devices, and to determine a synchronization signal corresponding to the target region in each of the plurality of imaging devices, wherein the determination unit determines the synchronization signal and the target region in each of the plurality of imaging devices so as to temporally synchronize images acquired from the plurality of imaging devices.

A synchronization control apparatus includes a control unit configured to control a plurality of imaging devices that capture an image, and a determination unit configured to determine a target region from which an image is acquired from each of the plurality of imaging devices, and to determine a synchronization signal corresponding to the target region in each of the plurality of imaging devices, wherein the determination unit determines the synchronization signal and the target region in each of the plurality of imaging devices so as to temporally synchronize images acquired from the plurality of imaging devices.

A method and an apparatus for processing a three-dimensional video, a readable storage medium and an electronic device are involved in the present disclosure, and the present disclosure relates to the field of electronic information technologies. The method is applied to a terminal device, and includes: sending an initial two-dimensional image to a server, so that the server generates an initial three-dimensional video according to the initial two-dimensional image; receiving the initial three-dimensional video sent by the server, and processing the initial three-dimensional video to obtain a target three-dimensional video. According to the present disclosure, a two-dimensional image on the terminal device is uploaded to the server and is converted into a three-dimensional video by the server, then the three-dimensional video is processed by the terminal device.

A method and an apparatus for processing a three-dimensional video, a readable storage medium and an electronic device are involved in the present disclosure, and the present disclosure relates to the field of electronic information technologies. The method is applied to a terminal device, and includes: sending an initial two-dimensional image to a server, so that the server generates an initial three-dimensional video according to the initial two-dimensional image; receiving the initial three-dimensional video sent by the server, and processing the initial three-dimensional video to obtain a target three-dimensional video. According to the present disclosure, a two-dimensional image on the terminal device is uploaded to the server and is converted into a three-dimensional video by the server, then the three-dimensional video is processed by the terminal device.