Hyperlapse Reference Point Matching for Stable Auto Shooting

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Solution Overview

Problem

Existing hyperlapse video generation methods result in shaky and unsmooth videos due to misalignment of reference points, leading to degraded video quality and user fatigue from manual shooting.

Innovation Solution

A processor-based method that automatically matches reference points between images or videos, adjusts camera settings, and performs automatic shooting when alignment and horizon are achieved, reducing user input and shaking.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If manual shooting method is used for hyperlapse video generation, then user can control camera positioning, but video quality deteriorates due to shaking and misalignment of reference points

Engineering Contradiction:

Improvereference point alignmentVSAvoiduser fatigue from manual shooting

Core Design Contradiction:

Manufacturing precisionVSEase of operation

Solution Approach 1:

The system performs automatic shooting by autonomously capturing images at intervals without requiring continuous user input. The processor automatically determines when reference points align and triggers the camera shutter, allowing the system to serve itself rather than requiring constant user operation.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system continuously monitors the alignment between reference points in sequential images and uses this feedback to control the shooting process. When misalignment is detected, the system waits for realignment; when alignment is achieved, it automatically captures the image, creating a closed-loop control system that improves precision.

Inventive Principle:

Principle #23Feedback

2Productivity

If automatic shooting is performed without reference point matching, then shooting speed increases, but video quality deteriorates due to shaking

Engineering Contradiction:

Improveshooting speedVSAvoidvideo stability

Core Design Contradiction:

ProductivityVSManufacturing precision

Solution Approach 1:

The system performs preliminary alignment checking by comparing reference points in sequential images before triggering the actual shot. This preliminary action ensures that only properly aligned frames are captured, preventing shaky video without significantly delaying the overall shooting process.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system replaces manual mechanical camera handling with an automated digital process. The processor analyzes reference point alignment through image processing algorithms and automatically controls the shutter, substituting the mechanical manual operation with an automated electronic control system that maintains precision while improving speed.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Measurement precision

If reference point matching is performed manually, then alignment precision improves, but operation complexity increases

Engineering Contradiction:

Improvereference point alignment accuracyVSAvoiduser input requirements

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The system automatically performs reference point matching by having the processor compare coordinate information from sequential images. The system serves itself by autonomously determining alignment without requiring user intervention in the matching process, thereby maintaining precision while reducing operational complexity.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system replaces manual visual inspection and adjustment of reference points with an automated computer vision system. The processor uses image processing algorithms to detect, track, and compare reference point coordinates automatically, substituting complex manual operations with streamlined electronic computation.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

4Adaptability or versatility

If camera settings are adjusted manually for each shot, then adaptability to changing conditions improves, but time consumption increases

Engineering Contradiction:

Improvecamera setting adaptabilityVSAvoidtime for setting adjustment

Core Design Contradiction:

Adaptability or versatilityVSLoss of time

Solution Approach 1:

The system automatically adjusts camera settings by having the processor monitor environmental conditions and autonomously modify parameters such as exposure, focus, and white balance. The camera serves itself by automatically adapting to changing conditions without requiring user intervention, maintaining versatility while eliminating time loss.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system maintains continuous adaptation of camera settings throughout the hyperlapse shooting process. Rather than discrete manual adjustments, the processor continuously monitors conditions and makes real-time setting modifications, ensuring the camera remains adapted to changing conditions without interrupting the shooting flow.

Inventive Principle:

Principle #20Continuity of useful action

Data Source

PatentUS20260032337A1Method and apparatus with hyperlapse video generation

Publication Date: 2026.01.29 SAMSUNG ELECTRONICS CO LTD

AI summary

A method of generating a hyperlapse video includes: comparing a first reference point of a first image and a corresponding second reference point of a second image; based on the comparing, displaying a first user interface for matching the first reference point and second reference point; and determining whether to perform automatic shooting for the hyperlapse video based on whether the first reference point and the second reference point match.