Digital Image Object Spacing Across Perspectives Using Bin Maps
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional digital image editing systems fail to facilitate the equal spacing of objects across different perspectives, leading to unrealistic results due to inflexibility, inaccuracy, and inefficiency in object positioning.
Innovation Solution
The cross-perspective spacing system uses alignment bin maps to sort and position objects based on their distance from a reference, such as a joining edge between perspectives, ensuring equidistance across different perspectives without relying on grid lines, thereby improving flexibility, accuracy, and efficiency in object placement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional digital image editing systems use traditional grid-based or manual positioning methods, then users have flexibility in placing objects, but the spacing of objects across different perspectives becomes inaccurate and unrealistic
Solution Approach 1:
The patent replaces traditional mechanical grid-based positioning systems with an automated computer vision system that uses perspective detection algorithms, vanishing point calculations, and automated object placement logic to achieve precise equidistant spacing across multiple perspectives without requiring manual grid alignment
Solution Approach 2:
The system dynamically calculates and adjusts positioning parameters based on detected perspective angles, vanishing points, and object distances. By changing from fixed grid parameters to dynamic perspective-based parameters, the system achieves accurate spacing that adapts to different perspective configurations while maintaining operational simplicity
2Productivity
If manual object positioning is used in digital image editing, then users can place objects freely, but the process becomes time-consuming and inefficient
Solution Approach 1:
The system performs preliminary detection of perspectives, vanishing points, and existing object positions before actual object placement. This pre-processing establishes the geometric framework and spacing parameters in advance, enabling rapid automated placement that eliminates time-consuming manual measurement and adjustment processes
Solution Approach 2:
The system automatically detects perspectives, calculates equidistant spacing, and positions objects without requiring continuous user intervention. The automated placement logic independently handles the complex calculations and adjustments, significantly reducing the time users would otherwise spend on manual positioning tasks
3Measurement precision
If simple positioning algorithms are used, then computational resources are consumed less, but the accuracy of object spacing across perspectives deteriorates
Solution Approach 1:
The complex positioning task is segmented into distinct processing stages: perspective detection, vanishing point identification, distance calculation, and object placement. Each segment handles a specific computational aspect, allowing the system to achieve high measurement precision through specialized algorithms while optimizing resource usage by processing only necessary data at each stage
Data Source
AI summary
The present disclosure relates to systems, methods, and non-transitory computer readable media that position objects across multiple perspectives within digital images to be equidistant. For instance, in some embodiments, the disclosed systems detect a user interaction for moving a first object within a first perspective of a digital image. Additionally, the disclosed systems extract a first distance between the first object within the first perspective and a joining edge between the first perspective and a second perspective of the digital image. The disclosed systems also extract a second distance between a second object within the second perspective of the digital image and the joining edge. Based on the first distance and the second distance, the disclosed systems modify the digital image by positioning the first object within the first perspective to be equidistant to the joining edge relative to the second object within the second perspective.