20240020927. METHOD AND SYSTEM FOR OPTIMUM POSITIONING OF CAMERAS FOR ACCURATE RENDERING OF A VIRTUAL SCENE simplified abstract (Orqa Holding LTD)

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METHOD AND SYSTEM FOR OPTIMUM POSITIONING OF CAMERAS FOR ACCURATE RENDERING OF A VIRTUAL SCENE

Organization Name

Orqa Holding LTD

Inventor(s)

Srdjan Kovacevic of Osijek (HR)

Ana Petrinec of Osijek (HR)

METHOD AND SYSTEM FOR OPTIMUM POSITIONING OF CAMERAS FOR ACCURATE RENDERING OF A VIRTUAL SCENE - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240020927 titled 'METHOD AND SYSTEM FOR OPTIMUM POSITIONING OF CAMERAS FOR ACCURATE RENDERING OF A VIRTUAL SCENE

Simplified Explanation

The abstract describes a method for positioning cameras on an object to accurately render the scene around the object on a dome in real-time. The method involves creating a 3D model of the object and selecting locations on its surface for camera placement. These locations are chosen so that each camera has overlapping fields of view with at least one other camera and is associated with a blind volume. The locations also have importance weights, which can be user-defined or estimated based on predefined factors. An objective function is then estimated based on all the locations, and this process is repeated until a minimum objective function is achieved.

  • The method involves positioning cameras on an object to render the scene around the object on a dome accurately.
  • A 3D model of the object is created, and locations on its surface are selected for camera placement.
  • The chosen locations ensure that each camera has overlapping fields of view with at least one other camera.
  • Each camera is associated with a blind volume, and the locations have importance weights.
  • An objective function is estimated based on all the locations, and this process is repeated until a minimum objective function is achieved.

Potential applications of this technology:

  • Virtual reality and augmented reality experiences: The accurate rendering of the scene around an object can enhance immersive experiences in virtual and augmented reality applications.
  • Surveillance and security systems: The method can be used to position cameras on objects to provide comprehensive coverage and accurate monitoring in surveillance and security systems.
  • Robotics and autonomous systems: Cameras positioned using this method can provide accurate perception and scene understanding for robots and autonomous systems.

Problems solved by this technology:

  • Accurate rendering of the scene: The method ensures that the cameras are positioned in a way that accurately captures the scene around the object, providing a realistic representation.
  • Overlapping fields of view: By ensuring that each camera has overlapping fields of view with at least one other camera, the method eliminates blind spots and ensures comprehensive coverage.
  • Importance weighting: The use of importance weights allows for prioritization of certain camera locations based on user-defined criteria or predefined factors, optimizing the camera placement.

Benefits of this technology:

  • Real-time rendering: The method enables real-time rendering of the scene around the object, allowing for immediate visualization and interaction.
  • Enhanced accuracy: By accurately positioning the cameras and ensuring overlapping fields of view, the method improves the accuracy of the rendered scene.
  • Flexibility and adaptability: The method can be applied to different objects and scenarios, allowing for flexibility and adaptability in various applications.


Original Abstract Submitted

a method for positioning of cameras on an object that enables accurate rendering of the scene around the object on a dome accurately in real time. the method involves providing a 3d model of the object having a surface, and selecting locations on the surface where the cameras are to be placed to provide a camera rig. the choice of locations is such that every camera has a field of view that overlaps with at least one other camera. each camera is also associated with a blind volume. the location is also associated with an importance weight that may be user defined or it may be estimated based on a number of predefined factors. subsequently, based on all the locations, an objective function is estimated. this step is repeated for a different set of locations until a minimum objective function is arrived at.

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