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Lens distortionAPK

When deploying a security surveillance system, LDC should be enabled to ensure proper undistorted coverage and optimal analytical performance.

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Lens Distortion Correction (LDC) is a digital image processing technique used for rectifying the distortions introduced by the inherent optical properties of camera lenses. Correcting these distortions is critical for accurate representations of objects and improving the reliability of computer vision applications like facial recognition. LDC profiles are often built specifically for a lens based on known distortion characteristics and patterns, and then applied after the image is captured.

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Microscope objectives are usually designed to be used with a specific group of oculars and/or tube lenses strategically placed to assist in the removal of ...

by DH Kim · 2011 · Cited by 10 — The magnification factor is calculated by comparing the sizes of the object and image, then the focal length is obtained using a thin-lens formula. This method ...

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The condenser lens is a lens that controls the probe current and probe-diameter by a combined use with the objective aperture. As shown in Figures below, when the lens excitation is strong, the number of electrons passing through the objective aperture is small, whereas when the excitation is weak, the number of electrons passing through the aperture is large. Furthermore, when the lens is strongly excited, the focal length of the lens becomes short, and thus the electron probe size becomes small. Therefore, the probe current and probe diameter are controlled by the condenser-lens excitation. Normally, the condenser lens is strongly excited for high-resolution image observation to obtain a small probe size, and weakly excited for analysis such as EDS to obtain a large probe current. An SEM equipped with a thermionic-emission gun uses the multi-stage condenser lens system to control the probe diameter in a wide range. Since the crossover (electron source) of this gun is as large as 20 µm, the crossover needs to be demagnified to about 1/1000 with a high reduction rate. An SEM equipped with a Schottky-emission gun has an electron source as small as 15 to 20 nm, and thus the lens with a low reduction rate is allowed. An SEM equipped with a field-emission gun has a sufficiently small source size. Thus, the condenser lens is mainly used to control the probe current with a one-stage condenser lens because the control range is small.

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2012229 — A microscope is something that uses a lens or lenses to make small objects look bigger and to show more detail.

LDC is a key part of modern imaging, however, this technique does come with one notable drawback. Once LDC is employed, the overall field of view is effectively reduced. In the example above, one can observe that some of the details captured at the edges of the frame are lost once LDC is enabled. This is because the LDC algorithm involves some cropping and remapping of certain parts of the image, thus consuming some of the detail captured in the outer areas of the image.

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Despite the drawback of a reduced field of view, the benefits of improved accuracy and reliability in security applications often outweigh this limitation. It is therefore highly recommended to enable LDC on all security cameras, especially ones utilizing computer vision analytics to ensure optimal performance of the system. When planning physical security deployments, coverage should be based on the field of view with LDC enabled to ensure optimal analytic performance.

The type of distortion depends on a number of other factors, like the number of optical elements inside the lens, the aperture of the lens, and whether the lens is varifocal. Typically, barrel distortions are found on wide-angle lenses, while pincushion distortions are found often in telephoto zoom lenses.

Most camera lenses used in modern imaging devices utilize curvilinear lenses, which are circular. Curvilinear lenses are cost-effective, however, they introduce two major types of geometric distortion in the final image: barrel and pincushion. These distortions occur because as a light ray passes through the curved surface of a lens, the ray experiences varying degrees of refraction depending on where the ray intersects with said curvature. This causes portions of the image to be magnified or compressed unevenly, more specifically on the edges of an image.

LDC reduces the geometric distortion by utilizing a lens profile created specifically for a particular lens. Each profile is created by identifying the distortion characteristics of a lens through an analysis of known patterns and calibration charts.

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Most modern camera systems utilizing CV-based analytics, like facial, person, or vehicle detection, require LDC to perform optimally. This is because the cost of incorporating distorted training data within a single CV model outweighs the cost of performing LDC on every camera. If a CV model were to include distorted training data, the model would be larger, thus decreasing the speed at which the model could perform detections. Keeping a CV model lean and applying LDC on every CV-based camera makes it easier to make the model better across cameras with different lens profiles.

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Different parameters, such as image sensor surface area, output resolution, focal length, etc, are tested against known distortion patterns of that lens and applied to the image data. Once the calibrator visually confirms that the parameters used are correctly dewarping an image, these parameters can be bundled together to form a corrective lens profile.

by K Ozulken · 2021 · Cited by 34 — ... refractive/extended depth of focus (EDOF) intraocular lenses (IOLs) and diffractive trifocal IOLs in refractive lens exchange patients. Materials and methods.

The examples below demonstrate the difference: barrel distortions depict a shape’s edges as curving away from the center of the image, whereas pincushion distortions bend edges toward the center of the image.

In the context of security camera systems, correcting the lens distortion serves an important function for general performance and generating predictable results. Dewarped video feeds not only ease human monitoring but also improve the accuracy of detection systems that employ Computer Vision (CV).