Methods and systems for imaging a scene, such as a medical scene, and tracking objects within the scene
Camera arrays for mediated-reality systems and associated methods and systems are disclosed herein. In some embodiments, a camera array includes a support structure having a center, and a depth sensor mounted to the support structure proximate to the center. The camera array can further include a plurality of cameras mounted to the support structure radially outward from the depth sensor, and a plurality of trackers mounted to the support structure radially outward from the cameras. The cameras are configured to capture image data of a scene, and the trackers are configured to capture positional data of a tool within the scene. The image data and the positional data can be processed to generate a virtual perspective of the scene including a graphical representation of the tool at the determined position.
1. A camera array, comprising:
a support structure having a center and a central region about the center;
a first camera mounted to the support structure at the central region and configured to capture first image data of at least a portion of a scene;
a plurality of second cameras mounted to the support structure outside the central region, wherein the first cameras are configured to capture second image data of at least a portion of the scene;
a plurality of third cameras mounted to the support structure outside the central region farther outward from the central region than the second cameras, wherein the third cameras are configured to capture third image data of at least a portion of the scene; and
a processing device communicatively coupled to the first camera, the second cameras, and the third cameras, wherein the processing device is configured to, based on the first image data, the second image data, and/or the third image data—
determine a depth of at least a portion of the scene; and
determine a position of a tool within the scene.
2. The camera array of claim 1 wherein the first camera, the second cameras, and the third cameras each have at least one intrinsic parameter different than one another.
3. The camera array of claim 2 wherein the second cameras are substantially identical to one another, and wherein the third cameras are substantially identical to one another.
4. The camera array of claim 1 wherein the first camera, the second cameras, and the third cameras operate at different wavelengths.
5. The camera array of claim 4 wherein the second cameras are substantially identical to one another, and wherein the third cameras are substantially identical to one another.
6. The camera array of claim 1 wherein the processing device is further configured to synthesize a virtual image corresponding to a virtual perspective of the scene based on the first image data, the second image data, and/or the third image data.
7. The camera array of claim 1 wherein each of the second and third cameras are angled radially inward toward the central region of the support structure.
8. The camera array of claim 1 wherein the second cameras and the third cameras each have a field of view, wherein the fields of view of the second cameras at least partially overlap to define a first volume, and wherein the fields of view of the third cameras at least partially overlap to define a second volume that is larger than the first volume.
9. The camera array of claim 1 wherein the third cameras are tracking cameras, and wherein the processing device is configured to determine a position of the tool within the scene based on the third image data.
10. The camera array of claim 1 wherein the first camera is a depth camera, and wherein the processing device is configured to determine the depth of the portion of the scene based on the first image data image data.
11. The camera array of claim 1 wherein the first camera has a first field of view, wherein the second cameras each have a second field of view, wherein the third cameras each have a third field of view, and wherein the first, second, and third fields of view at least partially overlap one another.
12. The camera array of claim 11 wherein the second and third fields of view are each angled radially inward toward the central region of the support structure.
13. A method of imaging a scene, the method comprising:
positioning a camera array relative to the scene, wherein the camera array includes—
a support structure having a center and a central region about the center;
a depth sensor mounted to the support structure at the central region;
a plurality of cameras mounted to the support structure outside the central region; and
a plurality of trackers mounted to the support structure outside the central region farther outward from the central region than the cameras;
capturing depth information of the scene with the depth sensor;
capturing image data of the scene with the cameras; and
capturing positional data of a tool within the scene with the trackers.
14. The method of claim 13 wherein the method further comprises co-registering the depth sensor, the cameras, and the trackers such that the depth information, image data, and positional data can be represented in a common coordinate system.
15. The method of claim 13 wherein the depth sensor has a first field of view, wherein the cameras each have a second field of view, wherein the trackers each have a third field of view, and wherein the first, second, and third fields of view at least partially overlap one another.
16. The method of claim 13 wherein the second and third fields of view are each angled radially inward toward the central region of the support structure.
17. A method of imaging a scene, the method comprising:
positioning a camera array relative to the scene, wherein the camera array includes—
a support structure having a center and a central region about the center;
a first camera mounted to the support structure at the central region;
a plurality of second cameras mounted to the support structure outside the central region;
a plurality of third cameras mounted to the support structure outside the central region farther outward from the central region than the second cameras away; and
capturing first image data of the scene with the first camera;
capturing second image data of the scene with the second cameras;
capturing third image data of the scene with the third cameras; and
processing the first image data, the second image data, and/or the third image data to—
determine a depth of at least a portion of the scene; and
determine a position of a tool within the scene.
18. The method of claim 17 wherein the first camera is a depth camera, wherein the third cameras are tracking cameras, and wherein processing the first image data, the second image data, and/or the third image data (a) to determine the position of the tool within the scene includes processing the third image data and (b) to determine the depth of the portion of the scene includes processing the first image data.
19. The method of claim 17 wherein the first camera has a first field of view, wherein the second cameras each have a second field of view, wherein the third cameras each have a third field of view, and wherein the first, second, and third fields of view at least partially overlap one another.
20. The method of claim 19 wherein the second and third fields of view are each angled radially inward toward the central region of the support structure.