Virtual Effect Mounting Plane Detection Using Vanishing Points

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Solution Overview

Problem

Existing methods for detecting a virtual effect mounting plane in images suffer from low detection accuracy and poor robustness due to reliance on gradient information of pixels, which leads to incomplete and inaccurate determination of mounting planes, especially in varying image scenarios.

Innovation Solution

The method involves extracting contour line segments and edge corner points to generate quadrilateral structural borders, using vanishing points to evaluate matching degrees, and determining a target border suitable for mounting virtual effects based on these criteria.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of manufacture

If gradient information of pixels is used to determine mounting plane, then the method is simple to implement, but detection accuracy and robustness deteriorate

Engineering Contradiction:
Improveease of implementationVSAvoiddetection accuracy
Core Design Contradiction:
Ease of manufactureVSMeasurement precision

Solution Approach 1:

The patent segments the contour detection process into multiple stages: first extracting contour line segments, then obtaining edge corner points, generating quadrilateral structural borders, and finally determining mounting planes through vanishing point matching. This segmentation allows each stage to focus on specific aspects, improving overall detection accuracy while maintaining implementation clarity.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces vanishing points as an intermediary element to bridge the gap between contour extraction and mounting plane determination. By using vanishing points from multiple structural borders as intermediaries for matching and evaluation, the system achieves more accurate and robust mounting plane detection without directly relying on pixel gradient information alone.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Ease of operation

If gradient information of pixels is used to determine mounting plane, then processing is straightforward, but robustness in different image scenarios deteriorates

Engineering Contradiction:
Improveprocessing simplicityVSAvoidrobustness in different scenarios
Core Design Contradiction:
Ease of operationVSReliability

Solution Approach 1:

The patent changes the key parameters from pixel gradient information to contour line segments, edge corner points, and vanishing points. This parameter transformation enables the system to maintain robustness across different image scenarios (such as various angles, distances, and object types) while keeping the processing workflow relatively simple and systematic.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The patent creates a universal mounting plane detection framework that can handle multiple image scenarios through a consistent process: extracting contours, identifying corner points, generating structural borders, and evaluating through vanishing point matching. This multi-functional approach allows the same algorithm to work across different object types and imaging conditions, improving robustness without significantly complicating the processing steps.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS20250349087A1Method for detecting virtual effect mounting plane, device, and storage medium
Publication Date: 2025.11.13 BEIJING ZITIAO NETWORK TECH CO LTD
  • US20250349087A1 patent drawing
  • US20250349087A1 patent drawing
  • US20250349087A1 patent drawing

AI summary

Embodiments of the present disclosure provide a method for detecting a virtual effect mounting plane, an electronic device, and a storage medium, and the method includes: acquiring contour line segments, and obtaining corresponding edge corner points based on the contour line segments, in which the contour line segments represent a contour of an object in an image to be detected, and the edge corner points are intersection points between the contour line segments; generating at least two quadrilateral structural borders with the edge corner points, in which each of the structural borders represents a contour of a plane of an object in the image to be detected; and obtaining matching degrees of the structural borders through target vanishing points corresponding to the structural borders, and determining a target border based on the matching degrees.