Stereoscopic Object Boundary Detection in Image Data

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Solution Overview

Problem

Current image editing applications do not provide an efficient method for users to select objects within an image, requiring manual outlining which is cumbersome and often inaccurate.

Innovation Solution

The use of stereoscopic image data from a first and second camera to identify and select objects within an image, allowing for automatic object selection and manipulation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual outlining is used to select objects in images, then users can manipulate image properties, but the process is cumbersome and inaccurate

Engineering Contradiction:

Improveobject selection accuracyVSAvoidobject selection ease

Core Design Contradiction:

Measurement precisionVSEase of operation

Solution Approach 1:

The system automatically identifies and selects objects in the image without requiring manual user input. The processor analyzes the image data to detect objects and generate selection masks autonomously, allowing the system to serve itself in the object selection task rather than relying on manual outlining by users

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces the mechanical manual outlining process with automated image processing and object detection algorithms. The processor uses computational methods to identify objects and create selection masks, substituting the manual mechanical action of drawing outlines with automated digital processing

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Productivity

If manual outlining is used to select objects, then users can define selection areas, but the process is time-consuming

Engineering Contradiction:

Improveimage editing speedVSAvoidtime for object selection

Core Design Contradiction:

ProductivityVSLoss of time

Solution Approach 1:

The system performs preliminary object identification and selection mask generation automatically before the user needs to manipulate the image. By pre-processing the image to identify objects and create selection areas in advance, the system eliminates the time users would otherwise spend on manual outlining during the actual editing process

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The automated object detection and selection system performs the time-consuming selection task without user intervention, allowing users to immediately proceed to image manipulation. The system serves itself by automatically completing the object selection process that would otherwise require significant user time and effort

Inventive Principle:

Principle #25Self-service

Data Source

PatentUS12120286B2Methods and devices for identifying one or more boundaries of an object in image data

Publication Date: 2024.10.15 BLACKBERRY LTD

AI summary

Methods and devices for manipulating an image are described. The method comprises receiving image data, the image data including a first image obtained from a first camera and a second image obtained from a second camera, the first camera and the second camera being oriented in a common direction; identifying one or more boundaries of an object in the image data by analyzing the first image and the second image; and displaying a manipulated image based on the image data, wherein the manipulated image includes manipulation of at least a portion of the first image based on boundaries of the object.