Described embodiments include a system that includes a display and a processor. The processor is configured to modify an image that includes a representation of a wall of an anatomical cavity, by overlaying an icon that represents an intrabody tool on a portion of the image that corresponds to a location of the intrabody tool within the anatomical cavity, and overlaying a marker on a portion of the representation of the wall that corresponds to a location at which the intrabody tool would meet the wall, were the intrabody tool to continue moving toward the wall in a direction in which the intrabody tool is pointing. The processor is further configured to display the modified image on the display. Other embodiments are also described.

Implementations are directed to generating corresponding three-dimensional (“3D”) rowview representation(s) of row(s) of an agricultural field at various time instance(s) to enable a human operator of the agricultural field to virtually traverse through the row(s) at the various time instance(s). In some implementations, the corresponding 3D rowview representation(s) can be generated based on corresponding vision data captured at the various time instance(s). The corresponding 3D rowview representation(s) can be generated based on processing the corresponding vision data. Further, the corresponding 3D rowview representation(s) can be provided to a client device of the human operator of the agricultural field to enable the human operator to virtually traverse through the row(s) of the agricultural field at the various time instance(s). In some implementations, the corresponding 3D rowview representation(s) can be annotated with inference(s) made with respect to the row(s) and/or corresponding non-vision data obtained for the various time instance(s).

Augmenting a video stream of an environment is provided, the environment containing a private entity to be augmented. Video of the environment is processed in accordance with an entity recognition process to identify the presence of at least part of an entity in the environment. It is determined whether the identified entity is to be augmented based on information relating to the identified entity and the private entity. Based on determining that the identified entity is to be augmented, the video stream is modified to replace at least a portion of the identified entity with a graphical element adapted to obscure the portion of the identified entity in the video stream. By modifying the video stream to obscure an entity, private or personal information in the environment may be prevented from being displayed to a viewer of the video stream.

A computer-implemented medical visualization method includes identifying a three-dimensional model of an anatomical item of a particular mammal; automatically identifying an open path in three-dimensional space through the anatomical item; fitting a smooth curve to the open path; and displaying the anatomical item and a visual representation of the smooth curve to a user on a three-dimensional imaging system.

Examples described herein relate to apparatuses and methods for determining a training set for an AI of a computerized simulation platform. An image stack corresponding to a 3D structure includes a plurality of layers generated based on the 3D structure. A model of the 3D structure is simulated to determine simulation results. The training set for a machine learning algorithm of the AI includes the image stack and the simulation results. The AI is trained using the machine learning algorithm based on the training set.

A computer-implemented medical visualization method includes identifying a three-dimensional model of an anatomical item of a particular mammal; displaying a moving animation of the three-dimensional model, the moving animation created from multiple frames from imaging of the anatomical item over a short time period to capture movement of the anatomical item; displaying one or more non-moving views of the three-dimensional model while the moving animation is being displayed; and in response to receiving inputs from a user, changing the displayed moving animation and the one or more non-moving views automatically in coordination with each other.

A system, for projecting a naked-eye three-dimensional image from a selected two-dimensional image, includes a data processing apparatus, a projection screen device and an image projection apparatus. The selected two-dimensional image is imported into the data processing apparatus. A predetermined three-dimensional virtual sphere is stored in the data processing apparatus. At least one processor of the data processing apparatus executes an image processing application to project the selected two-dimensional image onto the predetermined three-dimensional virtual sphere according to a spherical plane coordinate conversion method to generate a three-dimensional spherical volume image. The image projection apparatus is capable of communicating with the data processing apparatus. The data processing apparatus projects the three-dimensional spherical volume image onto the hemispherical projection surface via the image projection apparatus such that the naked-eye three-dimensional image associated with the three-dimensional spherical volume image is exhibited on a hemispherical projection surface of the projection screen device.

A computer-implemented method for medical device modeling includes accessing an electronic definition for a model of a three-dimensional item and an electronic definition of a three-dimensional spline relating to an internal anatomical volume; determining, with a computer-based finite element analysis system and using the electronic definitions, stresses created by the three-dimensional item along the three-dimensional spline, for different points along the three-dimensional spline; and displaying stress data generated by the finite element analysis system with a visualization system, the display of the stress data indicating levels of stress on portions of the three-dimensional item at particular locations along the three-dimensional spline.

Augmenting a video stream of an environment is provided, the environment containing a private entity to be augmented. Video of the environment is processed in accordance with an entity recognition process to identify the presence of at least part of an entity in the environment. It is determined whether the identified entity is to be augmented based on information relating to the identified entity and the private entity. Based on determining that the identified entity is to be augmented, the video stream is modified to replace at least a portion of the identified entity with a graphical element adapted to obscure the portion of the identified entity in the video stream. By modifying the video stream to obscure an entity, private or personal information in the environment may be prevented from being displayed to a viewer of the video stream.

Mesh-based raw video data (or 3D video data) includes a sequence of frames, each of which includes geometry data (e.g., triangle meshes or other meshes) and texture map(s) defining one or more objects. The raw 3D video data is segmented based on consistent mesh topology across frames. For each segment, a consistent mesh sequence (CMS) is defined and a consistent texture atlas (CTA) is generated. The CMS and CTA for each segment are compressed and stored as compressed data files. The compressed data files can be decompressed and used to render displayable images.