Autofocus virtual reality headset
US-2017161951-A1 · Jun 8, 2017 · US
US10319086B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10319086-B2 |
| Application number | US-201615221883-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jul 28, 2016 |
| Priority date | Aug 12, 2015 |
| Publication date | Jun 11, 2019 |
| Grant date | Jun 11, 2019 |
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According to various exemplary embodiments of the present disclosure, an electronic device may include a memory for storing one or more instructions, and a processor. The processor may be configured to acquire at least one image of at least one object, determine a change of an attribute corresponding to the at least one object, select at least one correction method based on the attribute change, correct the at least one image using the at least one correction method, and displaying the at least one image corrected by the at least one correction method on a display.
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What is claimed is: 1. An electronic device comprising: a memory for storing one or more instructions; a display; and a processor, wherein the processor executing the one or more instructions stored in the memory is configured to: acquire a plurality of images of at least one object, wherein the plurality of images includes a first image and a second image which are continuously acquired; determine a first attribute value corresponding to the at least one object from the first image; correct the first image by applying a first correction parameter to the first image, the first correction parameter corresponding to the first attribute value; determine a second attribute value corresponding to the at least one object from the second image; determine an amount at which the first attribute value is changed to the second attribute value; in response to a determination that the amount is within a predetermined range, correct the second image by applying a second correction parameter to the second image, the second correction parameter corresponding to the second attribute value; in response to a determination that the amount is not within the predetermined range, correct the second image by applying a third correction parameter to the second image, the third correction parameter being between the first correction parameter and the second correction parameter, such that the at least one object in the first image is not substantially changed into the at least one object in the second image when the corrected first image and the corrected second image are continuously displayed; control the display to display at least one of the corrected first image or the corrected second image, wherein the first attribute value and the second attribute value include at least one of values of positions, distances, or directions of the plurality of images of the at least one object, and wherein, to correct the first image and the second image, the processor is further configured to: configure, based on the first attribute value and the second attribute value, a distortion maps; and determine correction parameters corresponding to the distortion maps. 2. The electronic device of claim 1 , further comprising at least one camera for acquiring the plurality of images. 3. The electronic device of claim 1 , wherein the processor is further configured to: compare the first image and the second image; and determine the amount, based at least in part on the comparison. 4. The electronic device of claim 1 , wherein when the plurality of images respectively includes a plurality of objects, the processor is further configured to determine a representative object among the plurality of objects, and determine, based on a change of an attribute value of the representative object, the amount. 5. The electronic device of claim 1 , wherein the processor is further configured to crop at least one part of each of the plurality of images. 6. The electronic device of claim 1 , wherein the processor is further configured to control the display to display a preview of the at least one of the corrected first image or the corrected second image. 7. A method comprising: acquiring, by a processor of an electronic device, a plurality of images of at least one object, wherein the plurality of images includes a first image and a second image which are continuously acquired; determining, by the processor, a first attribute value corresponding to the at least one object from the first image; correcting, by the processor, the first image by applying a first correction parameter to the first image, the first correction parameter corresponding to the first attribute value; determining, by the processor, a second attribute value corresponding to the at least one object from the second image; determining, by the processor, an amount at which the first attribute value is changed to the second attribute value; in response to a determination that the amount is within a predetermined range, correcting, by the processor, the second image by applying a second correction parameter to the second image, the second correction parameter corresponding to the second attribute value; in response to a determination that the amount is not within the predetermined range, correcting, by the processor, the second image by applying a third correction parameter to the second image, the third correction parameter being between the first correction parameter and the second correction parameter, such that the at least one object in the first image is not changed into the at least one object in the second image when the corrected first image and the corrected second image are continuously displayed; displaying, by a display of the electronic device, at least one of the corrected first image or the corrected second image, wherein the first attribute value and the second attribute value include at least one of values of positions, distances, or directions of the plurality of images of the at least one object, and wherein correcting the first image and the second image further comprises: configuring, based on the first attribute value and the second attribute value, distortion maps; and determining correction parameters corresponding to the distortion maps. 8. The method of claim 7 , wherein the electronic device further comprises at least one camera for acquiring the plurality of images. 9. The method of claim 7 , further comprising: comparing the first image and the second image; and determining the amount, based at least in part on the comparison. 10. The method of claim 7 , wherein when the plurality of images respectively include a plurality of objects, the method further comprises: determining a representative object among the plurality of objects; and determining, based on a change of an attribute value of the representative object, the amount. 11. The method of claim 7 , further comprises cropping at least one part of each of the plurality of images. 12. A non-transitory computer readable medium storing a program for executing operations comprising: acquiring, by a processor of an electronic device, a plurality of images of at least one object, wherein the plurality of images includes a first image and a second image which are continuously acquired; determining, by the processor, a first attribute value corresponding to the at least one object from the first image; correcting, by the processor, the first image by applying a first correction parameter to the first image, the first correction parameter corresponding to the first attribute value; determining, by the processor, a second attribute value corresponding to the at least one object from the second image; determining, by the processor, an amount at which the first attribute value is changed to the second attribute value; in response to a determination that the amount is within a predetermined range, correcting, by the processor, the second image by applying a second correction parameter to the second image, the second correction parameter corresponding to the second attribute value; in response to a determination that the amount is not within the predetermined range, correcting, by the processor, the second image by applying a third correction parameter to the second image, the third correction parameter being between the first correction parameter and the second correction parameter, such that the at least one object in the first image is not changed into the at least one object in the second image when the corrected first image and the corrected second image are continuously displayed; and displaying, by a display of the electronic device, at least o
using two or more images, e.g. averaging or subtraction · CPC title
the noise originating only from the lens unit, e.g. flare, shading, vignetting or "cos4" · CPC title
for suppressing or minimising disturbance in the image signal generation · CPC title
based on recognised objects · CPC title
where the recognised objects include parts of the human body · CPC title
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