Pixel aperture offset camera obtaining depth information

Abstract

The invention discloses a pixel aperture offset camera capable of obtaining depth information. The camera obtains imaging parallax of different depths by realizing aperture offset at a pixel level, thereby extracting the depth information of an image. The structure of the camera mainly includes an infrared cutoff filter, a camera aperture diaphragm, an imaging lens, pixel microlenses, pixel apertures, a CMOS image sensor and other devices. The camera can extract the depth information of the image while generating a conventional 2D image, and obtains a three-dimensional (3D) image with the depth information by image processing.

Description

technical field [0001] The invention relates to the field of optoelectronic technology, in particular to a pixel aperture shift camera. Background technique [0002] In today's era of high-speed information flow, many applications such as facial expression recognition, gesture recognition, image-based scanning and augmented reality have been rapidly developed, but due to power, size and speed constraints, porting these applications to mobile devices is a challenge. Great challenge and thus the need for small and fast depth-extracting imaging systems. [0003] Many depth extraction techniques have been proposed in the past. However, these techniques usually require multiple cameras, light sources or complex systems, which not only require a huge computing platform, but also are relatively expensive. These factors limit the practicability of these techniques. [0004] To address the above challenges, sensors with offset pixel aperture (OPA) have recently been proposed. Compa...

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Problems solved by technology

[0002] In today's era of high-speed information flow, many applications such as facial expression recognition, gesture recognition, image-based scanning and augmented reality have been rapidly developed, but due to power, size and speed constraints, porting these applications to mobile devices is a challenge. Great challenge, hence the need for small and fast depth-extracting imaging systems

[0003] Many depth extraction techniques have been proposed in the past, however, these techniques usually require multiple cameras, light sources or complex systems, which not only require a huge computing platform, but are also relatively expensive, these factors limit the practicability of these techniques

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