Systems and methods for cloud-based surveillance for a target surveillance area are disclosed. At least two mobile input capture devices (ICDs) are communicatively connected to a cloud-based analytics platform via a data communication device. At least one user device can access to the cloud-based analytics platform. The cloud-based analytics platform automatically analyzes received 2-Dimensional (2D) video and/or image inputs for generating 3-Dimensional (3D) surveillance data and providing 3D display for a target surveillance area. In one embodiment, the at least two mobile ICDs are Unmanned Aerial Vehicles (UAVs).

A three dimensional system including a marker mode.

An image processing apparatus includes a 3D image converter and a 3D image generator. The 3D image converter performs conversion processing for converting a 2D image including a plurality of planes that are created with virtual distances into a 3D image on the basis of the virtual distances among the plurality of planes of the 2D images. The 3D image generator generates a 3D image from the two-dimensional image on the basis of the conversion processing performed by the 3D image converter and displays the generated 3D image. When a virtual distance between the corresponding planes of the 2D image is changed while the 3D image is being displayed by use of the 3D image generator, the 3D image converter performs the conversion processing in accordance with a change in the virtual distance.

A 3D video generator receives a two-dimensional image to be converted to a first three-dimensional video. The 3D video generator generates a depth map based on depth values for each of a plurality of pixels in the input image. Based on the depth map, the input image and a view disparity value, the 3D video generator creates a series of modified images that are associated with the input image. When combined, the series of modified images comprises a 3D video.

A method for automatic registration of 3D image data, captured by a 3D image capture system having an RGB camera and a depth camera, includes capturing 2D image data with the RGB camera at a first pose; capturing depth data with the depth camera at the first pose; performing an initial registration of the RGB camera to the depth camera; capturing 2D image data with the RGB camera at a second pose; capturing depth data at the second pose; and calculating an updated registration of the RGB camera to the depth camera.

A method for automatic registration of 3D image data, captured by a 3D image capture system having an RGB camera and a depth camera, includes capturing 2D image data with the RGB camera at a first pose; capturing depth data with the depth camera at the first pose; performing an initial registration of the RGB camera to the depth camera; capturing 2D image data with the RGB camera at a second pose; capturing depth data at the second pose; and calculating an updated registration of the RGB camera to the depth camera.

An image processing apparatus includes an image-frame reading section that reads one or more image frames from a moving image, a region-boundary-line-information receiving section that receives information concerning a region boundary line in the read image frames, a region dividing section that expands a division region starting from a point on the region boundary line and divides the inside and outside of the region boundary line with division lines, which connect points of brightness, an opening processing section that leaves a first division line between a pair of the region boundary lines and opens a second division line, a separating section that separates regions in the image frames in units of a region surrounded by the first division line, and a first depth-value giving section that gives, to the region surrounded by the first division line, a depth value representing a distance degree of the region.

A method of representing a 3D video from a 2D video by use of a node-based task pipeline for 3D video representation, the method implementable by a computer and including generating nodes, each having a defined task sequence required for a 3D video representation, in a node connecting task section provided to a Graphic User Interface (GUI), generating a task pipeline defining a connectivity relationship between the generated nodes, providing a user interface that is configured to operate user-defined data that is to be used by a certain node of the task pipeline, and generating user-defined data based on a user input that is input through the user interface, and outputting a 3D video from an input 2D video by use of the task pipeline and the user-defined data.

A method for displaying images, including: receiving an input video; selecting a primary frame and a delayed frame from the input video; generating a generated frame by mixing the primary frame with the delayed frame in a spatially non-uniform manner; generating a first output video including the generated frame; generating a second output video based on the input video; and displaying the first and second output videos to a viewer. A method for displaying images, including: controlling a camera to sample an input video; generating an output frame by mixing a plurality of frames of the input video in a spatially non-uniform manner; generating a first output video including the output frame; generating a second output video based on the input video; and controlling a display unit to concurrently display the first and second output videos to a viewer.

A method includes receiving a two-dimensional (2D) video of a physical scene, the 2D video including a plurality of 2D image frames, for each of a plurality of candidate 2D image frames of the 2D video, computer testing the candidate 2D image frame using at least one of a feature count criteria, a pose criteria, and an image quality criteria, computer validating selected ones of the plurality of candidate 2D image frames that satisfy the feature count criteria, the pose criteria, and the image quality criteria, and providing a set of validated 2D image frames to a three-dimensional (3D) reconstruction system to generate a 3D model of at least a portion of the physical scene.