Abstract: Disclosed is an editing system for postprocessing three-dimensional (“3D”) image data to realistically recreate the effects associated with viewing or imaging a represented scene with different camera settings or lenses. The system receives an original image and an edit command with a camera setting or a camera lens. The system associates the selection to multiple image adjustments. The system performs a first of the multiple image adjustments on a first set of 3D image data from the original image in response to the first set of 3D image data satisfying specific positional or non-positional values defined for the first image adjustment, and performs a second of the multiple image adjustments on a second set of 3D image data from the original image in response to the second set of 3D image data satisfying the specific positional or non-positional values defined for the second image adjustment.

Abstract: Disclosed is a system for encoding and/or rendering animations without temporal or spatial restrictions. The system may encode an animation as a point cloud with first data points having a first time value and different positional and non-positional values, and second data points having a second time value and different positional and non-positional values. Rendering the animation may include generating and presenting a first image for the first time value of the animation based on the positional and non-positional values of the first data points, and generating and presenting a second image for the second time value of the animation by changing a visualization at a first position in the first image based on the positional values of a data point from the second data points corresponding to the first position and the data point non-positional values differing from the visualization.

Abstract: Disclosed is a system for encoding and/or rendering animations without temporal or spatial restrictions. The system may encode an animation as a point cloud with first data points having a first time value and different positional and non-positional values, and second data points having a second time value and different positional and non-positional values. Rendering the animation may include generating and presenting a first image for the first time value of the animation based on the positional and non-positional values of the first data points, and generating and presenting a second image for the second time value of the animation by changing a visualization at a first position in the first image based on the positional values of a data point from the second data points corresponding to the first position and the data point non-positional values differing from the visualization.

Abstract: Provided is a system for structured and controlled movement and viewing within a point cloud. The system may generate or obtain a plurality of data points and one or more waypoints for the point cloud, present a first subset of the plurality of data points in a field-of-view of a camera at an initial position and an initial orientation of a first waypoint, change the camera field-of-view from at least one of (i) the initial position to a modified position within a volume of positions defined by orientation controls of the first waypoint or (ii) the initial orientation to a modified orientation within a range of orientations defined by the orientation controls of the first waypoint, and may present a second subset of the plurality of data points in the camera field-of-view at one or more of the modified position and the modified orientation.

Abstract: Disclosed is Light Detection and Ranging (“LiDAR”)-based camera metering, exposure adjustment, and image postprocessing. The LiDAR-based exposure adjustment may include emitting a laser from an imaging device, obtaining one or more measurements based on the laser reflecting off one or more objects in a scene and returning to the imaging device, adjusting exposure settings of the imaging device based on the one or more measurements, and capturing an image of the scene using the exposure settings. The LiDAR-based image postprocessing may include receiving an image of a scene and measurements or outputs from a LiDAR scan of the scene, and performing different adjustments to color values, contrast, brightness, saturation, levels, and other visual characteristics of different sets of pixels in the image based on different distance, material property, and/or other measurements obtained by the LiDAR for objects represented by the different sets of pixels.

Abstract: Disclosed is an interface and/or system for presenting three-dimensional (“3D”) graphical user interface (“GUI”) elements to improve user interactions with a device. The system determines a first angle from which to render a 3D GUI. The system receives 3D images that are linked to the 3D GUI elements. The system generates the 3D GUI elements by rendering each of the 3D images from a first render position that aligns with the first angle. The system detects an input that changes the first angle to a second angle, and updates a visualization of the 3D GUI elements by rendering each of the 3D images from a second render position that aligns with the second angle.

Abstract: Disclosed are three-dimensional (“3D”) graphical user interface (“GUI”) elements for improving user interactions with a digital environment or a device by simplifying access to different data, functionality, and operations of the digital environment or the device. A 3D GUI element may include first visual information at a first position and second visual information at a second position within the 3D space represented by the 3D GUI element. In response to first input directed to the first visual information, the 3D GUI or system may perform a first action that is mapped to the first input and the first visual information within the 3D GUI element. In response to second input directed to the second visual information, the 3D GUI or system may perform a second action that is mapped to the second input and the second visual information within the 3D GUI element.

Abstract: Disclosed is a system and associated methods for controlling computer operation through three-dimensional (“3D”) menus, 3D toolbars, and other 3D elements that provide an efficient and dynamic organization of application functionality and icons across three dimensions. The system generates a first 3D element with a first number of regions with each region of the first number of regions providing access to different functionality from a first set of functionality, and a second 3D element with a second number of regions with each region of the second number of regions providing access to different functionality from a second set of functionality. The system connects the first 3D element to the second 3D element, and rotates one or more of the first element and the second 3D element to change the functionality that is accessible from the one or more of the first element and the second element.

Abstract: Disclosed is a system for encoding and/or rendering animations without temporal or spatial restrictions. The system may encode an animation as a point cloud with first data points having a first time value and different positional and non-positional values, and second data points having a second time value and different positional and non-positional values. Rendering the animation may include generating and presenting a first image for the first time value of the animation based on the positional and non-positional values of the first data points, and generating and presenting a second image for the second time value of the animation by changing a visualization at a first position in the first image based on the positional values of a data point from the second data points corresponding to the first position and the data point non-positional values differing from the visualization.

Abstract: Disclosed is an editing system for postprocessing three-dimensional (“3D”) image data to realistically recreate the effects associated with viewing or imaging a represented scene with different camera settings or lenses. The system receives an original image and an edit command with a camera setting or a camera lens. The system associates the selection to multiple image adjustments. The system performs a first of the multiple image adjustments on a first set of 3D image data from the original image in response to the first set of 3D image data satisfying specific positional or non-positional values defined for the first image adjustment, and performs a second of the multiple image adjustments on a second set of 3D image data from the original image in response to the second set of 3D image data satisfying the specific positional or non-positional values defined for the second image adjustment.

Abstract: Disclosed is a system for encoding and/or rendering animations without temporal or spatial restrictions. The system may encode an animation as a point cloud with first data points having a first time value and different positional and non-positional values, and second data points having a second time value and different positional and non-positional values. Rendering the animation may include generating and presenting a first image for the first time value of the animation based on the positional and non-positional values of the first data points, and generating and presenting a second image for the second time value of the animation by changing a visualization at a first position in the first image based on the positional values of a data point from the second data points corresponding to the first position and the data point non-positional values differing from the visualization.

Abstract: Disclosed is Light Detection and Ranging (“LiDAR”)-based camera metering, exposure adjustment, and image postprocessing. The LiDAR-based exposure adjustment may include emitting a laser from an imaging device, obtaining one or more measurements based on the laser reflecting off one or more objects in a scene and returning to the imaging device, adjusting exposure settings of the imaging device based on the one or more measurements, and capturing an image of the scene using the exposure settings. The LiDAR-based image postprocessing may include receiving an image of a scene and measurements or outputs from a LiDAR scan of the scene, and performing different adjustments to color values, contrast, brightness, saturation, levels, and other visual characteristics of different sets of pixels in the image based on different distance, material property, and/or other measurements obtained by the LiDAR for objects represented by the different sets of pixels.

Abstract: Disclosed is a checksum generation and validation system and associated methods for dynamically generating and validating checksums with customizable levels of integrity verification. The system receives a file with data points defined with positional values and non-positional values, and differentiates a first set of the data points from a second set of the data points. The system generates a checksum based on a combination of two or more values from the positional values and the non-positional values of each data point from the first set of data points, and further based on exclusion of the positional values and the non-positional values of the second set of data points from the checksum. The system may use the checksum to verify the integrity of the data associated with the first set of data points.

Abstract: Disclosed are three-dimensional (“3D”) graphical user interface (“GUI”) elements for improving user interactions with a digital environment or a device by simplifying access to different data, functionality, and operations of the digital environment or the device. A 3D GUI element may include first visual information at a first position and second visual information at a second position within the 3D space represented by the 3D GUI element. In response to first input directed to the first visual information, the 3D GUI or system may perform a first action that is mapped to the first input and the first visual information within the 3D GUI element. In response to second input directed to the second visual information, the 3D GUI or system may perform a second action that is mapped to the second input and the second visual information within the 3D GUI element.

Abstract: Disclosed is an imaging system that use point cloud data point depth values and/or positional data to accurately differentiate and extract features from a point cloud representation of a three-dimensional (“3D”) environment without loss of extremely fine details of the extracted features, and without reliance on green screens or other chroma keying techniques. The imaging system differentiate and extract a set of data points, that represent a particular feature in the 3D environment, from other data points of a first point cloud based on the positional data of the set of data points being within depth values specified for feature extraction. The imaging system may generate the 3D environment with at least one visual effect by inserting the set of data points into a second point cloud with one or more data points of the second point cloud differing from the data points of the first point cloud.

Abstract: Disclosed is a system and method for rendering point clouds via a hybrid data point and construct visualization. The system receives a point cloud of a three-dimensional (“3D”) environment, and differentiates a first set of the point cloud data points from a second set of the data points based on a position of each data point relative to a specified render position. The system generates a first visualization from values of each of the first set of data points, and a second visualization from values of a set of constructs that replace the second set of data points. Each construct has a polygonal shape and a singular set of values defined from the values of two or more of the second set of data points. The system presents a final render of the 3D environment from the render position by combining the first visualization with the second visualization.

Abstract: Disclosed is a checksum generation and validation system and associated methods for dynamically generating and validating checksums with customizable levels of integrity verification. The system receives a file with data points defined with positional values and non-positional values, and differentiates a first set of the data points from a second set of the data points. The system generates a checksum based on a combination of two or more values from the positional values and the non-positional values of each data point from the first set of data points, and further based on exclusion of the positional values and the non-positional values of the second set of data points from the checksum. The system may use the checksum to verify the integrity of the data associated with the first set of data points.

Abstract: Provided is a multispectral imaging device for providing precise tracking and verification. The imaging device may configure a first filter for a sensor, and may determine first spectral properties of a target object based on a first image of the target object generated from visible light passing through the first filter onto the sensor. The imaging device may configure a different second filter for the sensor, and may determine second spectral properties of the target object based on a second image of the target object generated from the non-visible light passing through the second filter onto the sensor. The imaging device may align the second spectral properties of the second image with the first spectral properties of the first image, and may present the first spectral properties with the second spectral properties in a single composite image of the target object.

Abstract: Provided is a multispectral imaging device for providing precise tracking and verification. The imaging device may configure a first filter for a sensor, and may determine first spectral properties of a target object based on a first image of the target object generated from visible light passing through the first filter onto the sensor. The imaging device may configure a different second filter for the sensor, and may determine second spectral properties of the target object based on a second image of the target object generated from the non-visible light passing through the second filter onto the sensor. The imaging device may align the second spectral properties of the second image with the first spectral properties of the first image, and may present the first spectral properties with the second spectral properties in a single composite image of the target object.

Abstract: Disclosed is a system for efficiently accessing a point cloud via a multi-tree deconstruction of the point cloud. The system may receive the point cloud, may differentiate different sets of data points from the point cloud using differentiation criteria, and may generate different trees with each tree having leaf nodes corresponding to one of the differentiated sets of data points and parent nodes defined according to commonality in values of two or more leaf nodes. The system may receive a request to render the 3D environment, load a first tree into memory, generate a first image from the first tree data points, flush the first tree from the memory, load a second tree into the memory, generate a second image from the second tree data points, and present a composite image by combining at least the first image with the second image.