The present disclosure describes techniques of rendering images using explicit object representation via rays tracing volume density aggregation. The techniques comprise reconstructing an object into a plurality of Gaussian ellipsoids; determining a volume density of each of the plurality of Gaussian ellipsoids along each of a plurality of viewing rays; determining a weight of each of the plurality of Gaussian ellipsoids based on the volume density; and synthesizing an image of the object using the determined weight on each pixel of the image to interpolate attributes of each of the plurality of Gaussian ellipsoids.

A medical information processing apparatus according to an embodiment includes storage circuitry and processing circuitry. The storage circuitry is configured to store therein human body data structured with a plurality of voxels. The processing circuitry is configured to generate human body data by causing each of the voxels in the human body data to store therein composition information based on information about an anatomical structure of a human body, a data value based on medical image data, and relevance to an adjacent voxel.

Systems and methods for planning and performing image free implant revision surgery are discussed. For example, a method for generating a revision plan can include collecting pre-defined parameters characterizing a target bone, generating a 3D model, collecting a plurality of surface points, and generating a reshaped 3D model. Generating the 3D model of the target bone can be based on a first portion of the pre-defined parameters. Generating the reshaped 3D model can be done based on the plurality of surface points collected from a portion of the surface of the target bone.

Systems and methods for planning and performing image free implant revision surgery are discussed. For example, a method for generating a revision plan can include collecting pre-defined parameters characterizing a target bone, generating a 3D model, collecting a plurality of surface points, and generating a reshaped 3D model. Generating the 3D model of the target bone can be based on a first portion of the pre-defined parameters. Generating the reshaped 3D model can be done based on the plurality of surface points collected from a portion of the surface of the target bone.

Methods and apparatus for generating a data structure for storing primitive data for a number of primitives and vertex data for a plurality of vertices, wherein each primitive is defined with reference to one or more of the plurality of vertices. The vertex data comprises data for more than one view, such as a left view and a right view, with vertex parameter values for a first group of vertex parameters being stored separately for each view and vertex parameter values for a second, non-overlapping group of vertex parameters being stored only once and used when rendering either or both views.

Methods and apparatus for generating a data structure for storing primitive data for a number of primitives and vertex data for a plurality of vertices, wherein each primitive is defined with reference to one or more of the plurality of vertices. The vertex data comprises data for more than one view, such as a left view and a right view, with vertex parameter values for a first group of vertex parameters being stored separately for each view and vertex parameter values for a second, non-overlapping group of vertex parameters being stored only once and used when rendering either or both views.

Highly accurate three-dimensional shape data is obtained easily. The information processing apparatus obtains data of a plurality of captured images obtained by capturing an object from a plurality of viewpoints different from one another. Further, the information processing apparatus obtains first three-dimensional shape data indicating the shape of the object, which includes information indicating the spatial position of each of a plurality of feature points indicating features of the object. Furthermore, the information processing apparatus obtains second three-dimensional shape data indicating the shape of the object by using the captured image. Here, the information processing apparatus obtains, at the time of obtaining the first three-dimensional shape data, the first three-dimensional shape data, based on reliability of the spatial position of each of the plurality of feature points and the second three-dimensional shape data.

Highly accurate three-dimensional shape data is obtained easily. The information processing apparatus obtains data of a plurality of captured images obtained by capturing an object from a plurality of viewpoints different from one another. Further, the information processing apparatus obtains first three-dimensional shape data indicating the shape of the object, which includes information indicating the spatial position of each of a plurality of feature points indicating features of the object. Furthermore, the information processing apparatus obtains second three-dimensional shape data indicating the shape of the object by using the captured image. Here, the information processing apparatus obtains, at the time of obtaining the first three-dimensional shape data, the first three-dimensional shape data, based on reliability of the spatial position of each of the plurality of feature points and the second three-dimensional shape data.

The present disclosure generally relates to systems and techniques for constructing three-dimensional (3D) models. Certain aspects of the present disclosure provide an apparatus for model generation. The apparatus generally includes a memory, and one or more processors coupled to the memory. The one or more processors and the memory may be configured to receive one or more images depicting an object to be modeled, determine a category associated with the object to be modeled, select a shape of a space based on the category, and generate a 3D model of the object at least in part by carving one or more points associated with the space based on the one or more images depicting the object.

The present disclosure generally relates to systems and techniques for constructing three-dimensional (3D) models. Certain aspects of the present disclosure provide an apparatus for model generation. The apparatus generally includes a memory, and one or more processors coupled to the memory. The one or more processors and the memory may be configured to receive one or more images depicting an object to be modeled, determine a category associated with the object to be modeled, select a shape of a space based on the category, and generate a 3D model of the object at least in part by carving one or more points associated with the space based on the one or more images depicting the object.