HMD Pose Tracking from Error-Excluded Image Regions

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Solution Overview

Problem

Existing mixed reality systems face instability in acquiring the position and orientation of a head-mounted display (HMD) due to packet errors or losses in the captured image data, leading to user discomfort and reduced immersion.

Innovation Solution

An information processing apparatus that detects and excludes regions with packet errors or losses in the captured image, using methods such as image replacement or high-frequency component removal to stabilize the acquisition of HMD position and orientation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If the captured image is used to acquire the position and orientation of the HMD, then the position and orientation can be acquired, but the acquisition becomes unstable when packet errors or losses occur in the image data

Engineering Contradiction:

Improvestability of position and orientation acquisitionVSAvoidpacket errors or losses in captured image data

Core Design Contradiction:

ReliabilityVSLoss of information

Solution Approach 1:

The patent divides the captured image into multiple regions (first region and second region) and selectively uses only the second region (excluding the first region with packet errors or losses) for acquiring position and orientation. This segmentation approach allows the system to maintain stable acquisition by ignoring corrupted portions of the image data.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent extracts and removes the first region containing packet errors or losses from the captured image before using the remaining second region for position and orientation acquisition. This extraction process ensures that corrupted data does not affect the overall stability of the acquisition system.

Inventive Principle:

Principle #2Taking out (Extraction)

2Device complexity

If the entire captured image is used for position and orientation acquisition, then processing is simple, but the system becomes sensitive to data anomalies

Engineering Contradiction:

Improvesimplicity of image processingVSAvoidinfluence of packet errors or losses on acquisition stability

Core Design Contradiction:

Device complexityVSObject-affected harmful factors

Solution Approach 1:

The patent segments the captured image into multiple regions and identifies which regions contain packet errors or losses. By separating the image into usable portions (second region) and corrupted portions (first region), the system maintains simplicity while reducing sensitivity to data anomalies.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent applies different quality standards to different regions of the image. The first region with packet errors or losses is excluded from processing, while the second region without anomalies is used for acquisition. This local quality differentiation allows the system to maintain high accuracy without requiring complete image perfection.

Inventive Principle:

Principle #3Local quality

Data Source

PatentUS20260080564A1Information processing apparatus and information processing method

Publication Date: 2026.03.19 CANON KK

AI summary

An information processing apparatus includes: a processor; and a memory storing a program which, when executed by the processor, causes the information processing apparatus to execute reception processing of receiving an image from an apparatus, and execute acquisition processing of acquiring a position or an orientation of the apparatus on a basis of a second region excluding a first region including a data error or a data loss in the image.