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Related Experiment Video

Updated: Feb 12, 2026

Light-induced Patterning and Grafting for Slippery Surfaces based on Silane-coated Nanoporous Structures

Light-induced Patterning and Grafting for Slippery Surfaces based on Silane-coated Nanoporous Structures

Published on: November 14, 2025

FPGA Based Adaptive Rate and Manifold Pattern Projection for Structured Light 3D Camera System.

Muhammad Atif¹, Sukhan Lee²

¹Intelligent Systems Research Institute (ISRI), College of Information and Communication Engineering, Sungkyunkwan University, Suwon, Gyeonggi-do 440-746, Korea. m.atif@skku.edu.

Sensors (Basel, Switzerland)

|April 13, 2018

Summary

This summary is machine-generated.

This study introduces a flexible framework for structured light 3D cameras. It improves 3D point cloud quality and scanning speed, especially for surfaces with high reflectance variation.

Keywords:

adaptive frame rate pattern projection hardware synchronization structured light 3D camera system

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Area of Science:

Computer Vision
3D Imaging
Optical Engineering

Background:

Structured light 3D camera systems face challenges with surfaces exhibiting large reflectance variations, impacting scan speed and point cloud quality.
Existing systems often require a trade-off between projection pattern complexity and scanning performance.

Purpose of the Study:

To develop a flexible embedded framework for structured light 3D cameras to enhance performance with varying object surfaces.
To enable adaptive synchronization between camera and projector, accommodating mismatched frame rates and diverse projection patterns.

Main Methods:

Implementation of a flexible embedded framework on a Field Programmable Gate Array (FPGA).
Adaptive generation of camera triggers based on camera exposure settings, determining trigger position and number.
Real-time generation of pattern pixels, eliminating the need for external memory storage.

Main Results:

Achieved high-quality 3D point cloud capture even on surfaces with significant reflectance variations.
Enabled high scanning speeds by synchronizing camera and projector effectively.
Demonstrated adaptive projection frequency suitable for various scanning applications without architectural changes.

Conclusions:

The proposed FPGA-based framework offers a robust solution for improving 3D camera performance.
Real-time pattern generation minimizes hardware complexity and size, making it suitable for Application-Specific Integrated Circuit (ASIC) design.
The system provides flexibility and efficiency for 3D scanning applications with challenging surfaces.