3D Layout Estimation Using Plane Detection and Intersection
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Solution Overview
Problem
Existing methods for estimating three-dimensional room layouts from images face challenges due to occlusions, limited annotated data, and the assumption of box-like room structures, which can lead to inaccurate or incomplete layout representations.
Innovation Solution
The approach detects planes in images using machine learning models and semantic segmentation, discards non-relevant planes, and determines three-dimensional parameters to reconstruct the layout by computing intersections and generating polygons, allowing for the recovery of hidden layout components and iterative refinement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional layout estimation methods are used, then the process is simpler, but the accuracy of recovering hidden edges and corners deteriorates due to occlusions
Solution Approach 1:
The method segments the layout estimation problem into distinct components: detecting visible planes, inferring hidden planes through geometric reasoning, computing intersections, and reconstructing polygons. This segmentation allows each sub-problem to be addressed separately, improving overall accuracy while managing complexity through modular processing steps.
Solution Approach 2:
The patent transitions from 2D image plane detection to 3D spatial reasoning by computing intersections of planes and reconstructing three-dimensional polygons. This dimensional escalation enables the recovery of hidden layout components that cannot be directly observed in the 2D image, thereby improving measurement precision of the complete layout.
2Adaptability or versatility
If occlusions are present in the image, then the scene contains more realistic objects, but the observability of important features such as corners and edges deteriorates
Solution Approach 1:
The method performs preliminary detection of visible planes and their parameters before attempting to recover hidden features. By establishing the geometric constraints from observable planes first, the system creates a foundation for inferring hidden corners and edges, making the overall process more robust to occlusions.
Solution Approach 2:
The patent uses plane intersections as an intermediary mechanism to bridge visible and hidden features. Rather than directly observing hidden corners and edges, the system computes them as intersections of inferred planes, using these geometric intermediaries to recover complete layout information despite occlusions.
3Reliability
If more planes are detected to improve layout completeness, then the layout representation becomes more accurate, but the computational load increases
Solution Approach 1:
The method applies different processing quality to different regions: fully processing visible planes with complete parameter estimation, and selectively inferring only the hidden planes necessary for complete layout reconstruction. This local differentiation of processing intensity improves layout completeness while managing computational energy consumption.
Solution Approach 2:
The patent changes the parameter representation from direct feature detection to plane parameter estimation. By working with plane equations and their intersections rather than directly detecting all layout features, the system achieves complete layout representation through mathematical transformation, balancing reliability with computational efficiency.
Data Source
AI summary
Techniques are provided for determining one or more environmental layouts. For example, one or more planes can be detected in an input image of an environment. The one or more planes correspond to one or more objects in the input image. One or more three-dimensional parameters of the one or more planes can be determined. One or more polygons can be determined using the one or more planes and the one or more three-dimensional parameters of the one or more planes. A three-dimensional layout of the environment can be determined based on the one or more polygons.