Virtual Camera Collision Avoidance in Virtual Spaces
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Solution Overview
Problem
Existing technologies struggle to properly capture images of targets in virtual spaces, particularly in scenarios where virtual cameras may collide with moving objects, leading to issues like "sinking" or "penetrating" videos during live streaming.
Innovation Solution
An information processing apparatus equipped with an image capture control unit that performs a collision avoidance process by monitoring the positional relationship between a target object and a virtual camera in a virtual space, adjusting the camera's path or velocity to prevent collisions, and switching to alternative camera views if necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the virtual camera moves freely to capture images of the target object in the virtual space, then the image capture flexibility is improved, but the risk of collision between the virtual camera and the target object increases
Solution Approach 1:
The system performs preliminary actions by detecting the proximity state between the virtual camera and target object before collision occurs. The image capture control unit monitors positional relationships and identifies when the camera approaches too close to the target, enabling preventive action to be taken before the harmful collision event happens.
Solution Approach 2:
The system implements feedback control by continuously detecting the positional relationship between the virtual camera and target object, comparing it against safety thresholds, and automatically adjusting the camera's image capture path when proximity is detected. This closed-loop feedback mechanism ensures the camera maintains flexible movement while avoiding collisions through real-time monitoring and correction.
2Productivity
If the virtual camera follows a preset image capture path, then the image capture efficiency is improved, but the ability to avoid dynamic obstacles is reduced
Solution Approach 1:
The system applies dynamics by making the image capture path adjustable and changeable based on real-time conditions. While the camera follows a preset path for efficient capture, the system dynamically modifies the path when proximity to the target object is detected, allowing the camera to deviate from the original route to avoid collision while maintaining overall capture efficiency.
Solution Approach 2:
The image capture control unit serves multiple functions: it manages the preset path for efficient capture, detects proximity conditions, and adjusts the path when necessary. This multi-functional approach allows the system to maintain both the efficiency of preset paths and the adaptability to avoid dynamic obstacles through intelligent path modification.
3Manufacturing precision
If the virtual camera moves closer to the target object for detailed capture, then the image quality is improved, but the collision risk increases
Solution Approach 1:
The system applies preliminary anti-action by detecting when the virtual camera approaches too close to the target object and automatically adjusting the image capture path to increase the distance. This preventive measure counteracts the tendency of the camera to move too close for detailed capture, thereby eliminating the collision risk before it can materialize while still allowing sufficient proximity for quality imaging.
Data Source
AI summary
An information processing apparatus according to an embodiment of the present technology includes an image capture control unit. The image capture control unit performs, depending on a positional relationship between a target object that moves in a virtual space and a virtual camera that moves in the virtual space and captures an image of a target object, a collision avoidance process for avoiding a collision of the virtual camera against the target object.