17890739. MULTIPASS INTERFERENCE CORRECTION AND MATERIAL RECOGNITION BASED ON PATTERNED ILLUMINATION WITHOUT FRAME RATE LOSS simplified abstract (Samsung Electronics Co., Ltd.)

MULTIPASS INTERFERENCE CORRECTION AND MATERIAL RECOGNITION BASED ON PATTERNED ILLUMINATION WITHOUT FRAME RATE LOSS

Organization Name

Samsung Electronics Co., Ltd.

Inventor(s)

Vladimir Mikhailovich Semenov of Malakhovka (RU)

Anastasiia Sergeevna Suvorina of Moscow (RU)

Vladislav Valer'evich Lychagov of Saratov (RU)

Anton Sergeevich Medvedev of Korolev (RU)

Evgeny Andreevich Dorokhov of Moscow (RU)

Gennady Dmitrievich Mammykin of Moscow (RU)

MULTIPASS INTERFERENCE CORRECTION AND MATERIAL RECOGNITION BASED ON PATTERNED ILLUMINATION WITHOUT FRAME RATE LOSS - A simplified explanation of the abstract

This abstract first appeared for US patent application 17890739 titled 'MULTIPASS INTERFERENCE CORRECTION AND MATERIAL RECOGNITION BASED ON PATTERNED ILLUMINATION WITHOUT FRAME RATE LOSS

Simplified Explanation

The patent application describes a method for illuminating a scene using multiple light sources with different spatial patterns, wavelengths, and/or polarizations. The method involves capturing an image of the scene using an imaging sensor and a filter array. Intensity values of direct and global components of the light received by each pixel are calculated using a system of equations. Image correction is then performed by assigning the calculated intensity value of the direct component to each pixel, resulting in a corrected image.

• Simultaneous illumination of a scene using multiple light sources with different characteristics
• Capturing an image of the scene using an imaging sensor and a filter array
• Calculation of intensity values for direct and global components of the light received by each pixel
• Image correction by assigning the calculated intensity value of the direct component to each pixel

Potential Applications

• Photography and videography
• 3D scanning and modeling
• Object recognition and tracking
• Augmented reality and virtual reality

Problems Solved

• Overcoming limitations of traditional lighting methods
• Enhancing image quality and accuracy
• Separating direct and global components of light for improved analysis

Benefits

• Improved image quality and accuracy
• Enhanced depth perception and 3D reconstruction
• More accurate object recognition and tracking
• Greater flexibility in lighting and scene illumination

Original Abstract Submitted

The method includes simultaneously illuminating a scene by at least two light sources, each light source emitting structured light having a spatial pattern, a wavelength and/or a polarization, wherein the spatial pattern, the wavelength and/or the polarization of each structured light differ from each other, respectively, capturing an image of the scene simultaneously illuminated by the at least two light sources by an imaging sensor through a filter array, wherein one pixel of the imaging sensor captures the image through one filter of the filter array, calculating, for each pixel, intensity values of direct and global components of the light received by the pixel from a system of equations compiled for each joint pixel, and performing, for each pixel, image correction by assigning to each pixel its calculated intensity value of the direct component to obtain a corrected image.