Reference Projection Screen Deformation for Accurate Synthetic Images

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Solution Overview

Problem

Existing image processing technologies face difficulties in deforming a projection screen in accordance with objects outside the detection region of a sensor, leading to challenges in generating accurate synthetic images.

Innovation Solution

An image processing apparatus that deforms a reference projection screen using accumulated position information of detection points and self-location information of a moving object, allowing for accurate projection screen deformation even when objects are outside the sensor's detection region.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If a sensor is used to detect distance between a moving object and surrounding objects, then distance measurement is achieved within detection region, but objects outside the detection region cannot be measured

Engineering Contradiction:
Improvedistance measurement accuracyVSAvoiddetection coverage range
Core Design Contradiction:
Measurement precisionVSAdaptability or versatility

Solution Approach 1:

The system performs preliminary actions by accumulating position information of detection points over time and generating a map of the surrounding environment before the object moves out of sensor range. This pre-acquired spatial data is then used to infer positions of objects that are currently undetectable, allowing the projection screen to be deformed accurately even when objects are outside the real-time detection region.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent introduces an intermediary computational process that uses accumulated position information and map data to infer the locations of objects outside the detection region. This intermediary inference mechanism bridges the gap between limited sensor coverage and comprehensive environmental awareness, enabling the system to deform the projection screen based on objects that cannot be directly detected.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Manufacturing precision

If projection screen deformation is based on real-time sensor detection, then accurate deformation is achieved for detected objects, but deformation accuracy decreases for objects outside detection region

Engineering Contradiction:
Improveprojection screen deformation accuracyVSAvoidobject position information
Core Design Contradiction:
Manufacturing precisionVSLoss of information

Solution Approach 1:

The system accumulates position information of detection points in advance and generates a comprehensive map of the surrounding environment. This preliminary mapping ensures that even when objects move outside the real-time detection region, their positions can be retrieved from the accumulated data, preventing information loss and maintaining deformation accuracy for all objects including those currently undetectable.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system continuously accumulates and updates position information from detection points, creating a feedback loop that maintains an up-to-date environmental map. This feedback mechanism ensures that position information is preserved and can be used to deform the projection screen accurately, compensating for objects that temporarily fall outside the sensor's detection region.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS12141936B2Image processing apparatus, image processing method, and recording medium
Publication Date: 2024.11.12 SOCIONEXT INC
  • US12141936B2 patent drawing
  • US12141936B2 patent drawing
  • US12141936B2 patent drawing

AI summary

An image processing apparatus is disclosed. The image processing apparatus includes a processor connected to a memory. The processor functions as a deformation unit. The deformation unit serves to deform a reference projection screen that is a projection screen of a surrounding image of a moving object. The reference projection screen is deformed by using position information in which detection points around the moving object are accumulated and using self-location information of the moving object.