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40 Years of History: Active Lighting Techniques and Advances in Computer Vision

Mason Powell

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Active Lighting and Its Application for Computer Vision: 40 Years of History of Active Lighting Techniques (Advances in Computer Vision and Pattern Recognition)

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Active lighting techniques have been used in computer vision for over 40 years. These techniques involve illuminating a scene with a controlled light source and capturing the resulting images. This information can then be used to reconstruct the 3D structure of the scene, identify objects, and track their motion.

The first active lighting techniques were developed in the early 1980s. These techniques used simple light sources, such as a single flashlight, to illuminate a scene. The resulting images were then processed to extract information about the scene's geometry.

In the late 1980s and early 1990s, more sophisticated active lighting techniques were developed. These techniques used multiple light sources and more complex illumination patterns. This allowed for the reconstruction of more detailed 3D models and the identification of a wider range of objects.

In the past decade, active lighting techniques have been combined with machine learning techniques to further improve their performance. These techniques can now be used to recognise objects in complex scenes, track the motion of multiple objects, and even generate photorealistic images.

Applications of Active Lighting Techniques

Active lighting techniques have a wide range of applications in computer vision, including:

3D reconstruction
Object recognition
Motion tracking
Image segmentation
Photorealistic image generation

These applications are used in a variety of industries, including:

Manufacturing
Healthcare
Robotics
Automotive
Entertainment

Active lighting techniques have come a long way in the past 40 years. These techniques are now used for a wide range of applications in computer vision. As machine learning techniques continue to improve, we can expect to see even more advances in the field of active lighting in the years to come.

References

R.J. Woodham, "Photometric method for determining surface orientation from multiple images," Optical Engineering, vol. 19, no. 1, pp. 139-144, 1980.
B.K.P. Horn, "Shape from shading: A method for obtaining the shape of a smooth opaque object from one view," PhD thesis, Massachusetts Institute of Technology, 1970.
D.J. Kriegman and S. Belongie, "What Can Active Lighting Reveal About Object Shape?," European Conference on Computer Vision, vol. 2, pp. 569-582, 2002.
Y. Li, M. Ovsjanikov, and L. Guibas, "Multi-view Reconstruction of Shape and Detail from a Single Image," ACM Transactions on Graphics, vol. 31, no. 6, pp. 1-11, 2012.
T. Zhou, R. Wang, and P. Tan, "Deep Active Learning for Object Detection," IEEE International Conference on Computer Vision, pp. 2723-2732, 2017.

Active Lighting and Its Application for Computer Vision: 40 Years of History of Active Lighting Techniques (Advances in Computer Vision and Pattern Recognition)

5 out of 5