Virtual Scene Generation via Object Rearrangement
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Solution Overview
Problem
Current image search and spatial search approaches are inefficient in suggesting products to fill empty spaces in images, as they primarily focus on empty spaces without considering the rearrangement of existing objects to accommodate new ones, limiting the variety of suggestions for furnishing.
Innovation Solution
A method that involves receiving an image, determining a 3D coordinate space, identifying and rearranging objects to create larger empty spaces by analyzing image data and 3D coordinates, allowing new objects to be placed efficiently within the scene, using image segmentation and manipulation techniques to generate a virtual scene.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If image search algorithms are used to identify empty spaces for product suggestions, then product placement suggestions can be generated, but the variety of suggestions is limited because existing objects cannot be rearranged to accommodate new items
Solution Approach 1:
The system dynamically rearranges existing objects in the scene based on calculated movement paths along surfaces and lines. Objects are not fixed but can be repositioned to create space for new items, enabling multiple furnishing configurations and increasing the variety of suggestions.
Solution Approach 2:
The system transitions from 2D image analysis to 3D coordinate space representation, allowing objects to be manipulated in three dimensions. This enables more sophisticated rearrangement strategies where objects can be moved along surfaces and lines to create optimal spacing for new items.
2Productivity
If objects are rearranged to accommodate new items, then more furnishing suggestions become possible, but the complexity of the image manipulation process increases
Solution Approach 1:
The system segments the scene into discrete objects with defined boundaries in 3D space. Each object is independently identifiable and manipulable, allowing the algorithm to calculate movement paths for specific objects without having to reprocess the entire scene, thus improving efficiency.
Solution Approach 2:
The system uses surfaces and lines as intermediary elements for object movement. Objects are moved along predefined surfaces and lines rather than requiring complex collision detection and resolution, simplifying the rearrangement process while maintaining physical realism.
3Extent of automation
If automatic image manipulation is implemented to rearrange objects, then furnishing suggestions can be generated efficiently, but the precision of object placement and spatial relationships must be maintained
Solution Approach 1:
The system changes the representation parameters from 2D image coordinates to 3D spatial coordinates, allowing for more precise control over object placement. By working in 3D space with defined surfaces and lines, the system maintains accurate spatial relationships while enabling automatic manipulation.
Data Source
AI summary
The present disclosure relates to the field of image analysis, in particular, it relates to a method for generating a virtual scene of objects. The disclosure also relates to a device comprising circuitry configured to carry out the method. The disclosure also relates to a computer program product adapted to carry out the method.