Image Processing Device for Virtual Object Coordination
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Solution Overview
Problem
Users face difficulties in combining a first object with a second object to check coordination, especially when the second object is hard to bring to the front, such as when purchasing clothing or selecting children's clothing, making it challenging to assess the balance of sizes.
Innovation Solution
An image processing system comprising a camera and a projector that captures depth and visible images, analyzes the projection image to identify and align objects, and adjusts the projected image to match the size and position of the first object, allowing users to check coordination by projecting the image onto a surface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a user physically combines the first object and second object to check coordination, then the user can directly assess size balance and coordination, but the user cannot check coordination when the second object is difficult to bring to the front (e.g., children's clothing, gifts)
Solution Approach 1:
The system creates a virtual copy (projected image) of the second object and superimposes it onto the first object in the real world. This allows users to check coordination without physically moving the actual second object, solving the problem of objects that are difficult to position in front of the first object.
Solution Approach 2:
The projected image acts as an intermediary between the user and the actual second object. Instead of directly handling the difficult-to-position object, users interact with its virtual representation, which can be easily manipulated and positioned through projection.
2Manufacturing precision
If the projected image size is fixed, then the projection system is simple to operate, but the projected image cannot adapt to different sizes of the first object for accurate coordination checking
Solution Approach 1:
The projected image size is made dynamic and adjustable based on the detected size of the first object. The system automatically scales the projected image to match the real-world dimensions of the first object, ensuring accurate coordination checking without manual intervention.
Solution Approach 2:
The system changes the size parameter of the projected image based on the detected dimensions of the first object. By adjusting this parameter dynamically, the system achieves precise size matching while keeping the operation simple for the user.
3Measurement precision
If the projection is positioned without alignment detection, then the projection system is simpler, but the projected image does not align properly with the first object for accurate coordination assessment
Solution Approach 1:
The system uses a camera to detect the position and orientation of the first object, and based on this feedback, automatically adjusts the position and angle of the projected image to achieve proper alignment. This closed-loop control ensures accurate positioning without requiring manual alignment by the user.
Data Source
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AI summary
Coordination of two actual objects can be checked even if it is difficult to match the objects each other at the same place. An image processing device acquires a projection image that includes an image of a first object projected on a projection surface, and identifies an area, in the projection image projected by projecting means, blocked by a second object in front of the projection surface. The image processing device has projection control means for controlling the projecting means so that a size of the image of the first object projected on the projection surface is life-size, and the projecting means projects the projection image in which a color of the area identified by the object identifying means is replaced by a predetermined color.