Image Segmentation Masks for Object Recognition and VR Interaction
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Solution Overview
Problem
Current systems lack the ability to effectively identify and interact with objects in digital images, particularly for users with visual impairments and in virtual reality environments, where immersive experiences and object recognition are limited.
Innovation Solution
The implementation of image segmentation and classification techniques, such as DeepMask and MultiPathNet, to automatically identify and classify objects in images, allowing for audio descriptions and interactive object manipulation in virtual reality environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Difficulty of detecting and measuring
If image segmentation and classification techniques are implemented to identify objects in images, then object recognition capability is improved, but system complexity increases
Solution Approach 1:
The system segments the image into multiple regions using image segmentation techniques, then applies classification to each segment. This divide-and-conquer approach improves object recognition by focusing computational resources on specific regions rather than processing the entire image uniformly, while managing complexity through modular processing stages.
Solution Approach 2:
The patent introduces masks as intermediary elements that bridge the gap between image data and object identification. These masks act as intermediaries that highlight specific regions of interest, enabling the system to focus on relevant areas without requiring complex analysis of the entire image, thus improving recognition while controlling system complexity.
2Ease of operation
If audio descriptions are provided for image content, then accessibility for visually impaired users is improved, but information processing time increases
Solution Approach 1:
The system performs preliminary image segmentation and object classification before generating audio descriptions. By pre-processing the image to identify and segment objects of interest, the system reduces the amount of data that needs to be processed for audio generation, thereby improving accessibility while minimizing additional processing time.
Solution Approach 2:
The system generates audio descriptions selectively for identified objects rather than attempting to describe the entire image. This partial action approach focuses computational resources on key objects that are most relevant to user understanding, improving accessibility without requiring excessive processing time for comprehensive image description.
3Adaptability or versatility
If masks are generated and applied to 3D objects in virtual reality environments, then immersive experience is improved, but computational requirements increase
Solution Approach 1:
The system creates simplified 2D mask representations of identified objects and applies them as textures or overlays on 3D virtual reality objects. Rather than performing complex 3D modeling and rendering for each object, the system uses 2D copies/masks that can be efficiently rendered on 3D surfaces, improving immersive experience while reducing computational requirements for object creation and rendering.
Data Source
AI summary
In one embodiment, a method includes detecting objects in an image. The method includes accessing a mask for each object. The method includes receiving an input in relation to the image. The input corresponds to an input region and an input type. The method includes identifying a region of the image corresponding to the input region of the input. The identified region of the image includes one or more of the masks. The method includes providing feedback regarding the one or objects in the identified region of the image based on the input type.