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The improvement of stereo depth accuracy

Light case study

Overview

Light is a producer of L16, the compact camera that uses sophisticated technology to combine multiple images into a single, stunningly detailed photo. We helped Light to improve the accuracy of stereo depth and worked on sensor geometric calibration. In partnership with Softbank Vision Fund and Leica Camera, Light's imaging platform goes far beyond consumer photography. Soon, you will find Light technology in smartphones, automobiles, security systems, and more.

Technologies

  • C++
  • Python
  • Blender, Unreal Engine

Expertise

  • Camera calibration
  • Nonlinear optimization
  • Stereo vision
  • 3D Modelling

Problem

Light’s product is a software-defined camera that combines breakthrough optics technology with sophisticated computational software. Apart from creating more vivid and more detailed HDR images, it uses stereo vision and calculates the depth of the image.

Accuracy of depth is an important part of providing high-quality, flawless images. Proper sensor geometric calibration is also critical as individual cameras are not glued to any surface and are prone to micro movements when the device is used.

Light effects

Project goals

Solution

The project was divided into 3 parts: online calibration research, lense distortion correction research, and depth pipeline improvements. First, we focused on the theoretical and practical advantages of using online calibration, then we worked on improving the quality of stereo depth reconstruction.

The following deliverables were defined and successfully implemented:

Light effects

Project results

6
Months project duration

Let’s talk

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