Polynomial Temperature Compensation for Structured Light Depth Imaging
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Solution Overview
Problem
Temperature drift in structured light sources causes systematic bias in depth information calculated by depth sensing systems, particularly in head-mounted display devices, leading to inaccurate depth mapping, and conventional solutions like thermoelectric coolers are bulky and power-hungry, making them unsuitable for mobile devices.
Innovation Solution
A temperature compensation model using polynomial models, such as global and individual regression models, is implemented to estimate and adjust for pattern shifts due to temperature changes, allowing for accurate depth mapping without the need for bulky cooling systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Temperature
If conventional cooling systems like thermoelectric coolers are used to compensate for temperature drift, then temperature stability is improved, but device complexity and power consumption increase
Solution Approach 1:
The patent replaces mechanical cooling systems (thermoelectric coolers) with a software-based polynomial model that mathematically compensates for temperature drift effects on the structured light pattern, eliminating the need for complex mechanical cooling hardware
Solution Approach 2:
The patent changes the approach from physically controlling temperature to mathematically modeling and compensating for temperature-induced parameter changes in the light pattern, using polynomial models that account for temperature drift without requiring active cooling
2Measurement precision
If conventional cooling systems are used to maintain temperature stability, then measurement precision is improved, but power consumption increases
Solution Approach 1:
The patent replaces power-consuming mechanical cooling systems with a computational polynomial model that requires minimal energy to calculate and apply corrections to the depth map, significantly reducing overall power consumption while maintaining measurement precision
3Device complexity
If temperature compensation is not applied, then device complexity is reduced, but measurement precision deteriorates due to systematic bias
Solution Approach 1:
The patent introduces a polynomial model as an intermediary computational layer between the structured light projection and depth calculation, which mathematically mediates the temperature drift effects and corrects systematic biases without adding complex hardware
Data Source
AI summary
Disclosed are an apparatus and a method of compensating temperature shifts of a structured light pattern for a depth imaging system. In some embodiments, a depth imaging device includes a light source, an imaging sensor and a processor. The light source emits light corresponding to a pattern. A temperature drift of the light source can cause a shift of the pattern. The imaging sensor receives the light reflected by environment in front of the depth imaging device and generates a depth map including a plurality of pixel values corresponding to depths of the environment relative to the depth imaging device. The processor estimates the shift of the pattern based on a polynomial model depending on the temperature drift of the light source. The processor further adjusts the depth map based on the shift of the pattern.