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Depth map generation using a single image sensor with phase masks.

Jinbeum Jang, Sangwoo Park, Jieun Jo

|July 14, 2016

Summary

This summary is machine-generated.

This study introduces a novel single-sensor stereo matching system using phase masks, enabling compact and cost-effective depth map generation for small digital cameras.

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Area of Science:

Computer Vision
Optical Engineering
Image Processing

Background:

Conventional stereo matching relies on multiple sensors, leading to bulky and expensive camera systems.
Existing methods struggle with size and cost constraints for compact imaging applications.

Purpose of the Study:

To develop a cost-effective and compact stereo matching system for depth map generation.
To enable stereo imaging capabilities in small digital cameras without additional hardware.

Main Methods:

A novel phase mask array is proposed to acquire multiple stereo image pairs from a single sensor.
Depth map computation involves variational segmentation, hierarchical block matching for disparity, and image matting for hole filling.
Noise-invariant depth maps are generated directly from raw sensor data.

Main Results:

The system successfully generates dense depth maps using a single image sensor.
The proposed phase mask array facilitates simultaneous acquisition of stereo image pairs.
The method produces noise-invariant depth maps suitable for compact camera applications.

Conclusions:

The developed stereo matching system overcomes the limitations of conventional multi-sensor approaches.
This technology allows for the integration of stereo vision into small, affordable digital cameras.
The system offers a viable solution for depth sensing in space-constrained and budget-limited devices.