Intelligent image capture mode for images involving reflective surfaces
Systems and methods for capturing one or more images include a smart capture mode for detecting one or more reflective objects in an image to be captured by a device, and determining whether a display provided in the device will cause a disturbance when the image is captured, the disturbance based on one or more reflections of the display on the one or more reflective objects. A brightness of the display is adjusted prior to capturing the image based on determining that the display will cause the disturbance, where adjusting the brightness of the display reduces the disturbance in the image when the image is captured. The brightness of the display can be adjusted by dimming or turning off the display. The display can be returned to a previous state upon capturing the image, the previous state being prior to the brightness of the display being adjusted.
1. A method for capturing one or more images, the method comprising:
detecting, by a computing device, one or more reflective objects in a scene;
determining whether one or more factors associated with a display provided in the computing device and the one or more reflective objects will cause a disturbance in an image of the scene when the image is captured by the computing device, the disturbance being based on one or more reflections of the display on the one or more reflective objects, wherein the one or more factors comprise at least one of a respective relative position between the display and each respective reflective object of the one or more reflective objects, ambient light, brightness of the display, or a respective shape of each respective reflective object of the one or more reflective objects; and
adjusting a brightness level of the display prior to capturing the image based on determining that the display will cause the disturbance.
2. The method of claim 1 , wherein adjusting the brightness level of the display prior to capturing the image comprises dimming the display or turning off the display.
3. The method of claim 1 , wherein adjusting the brightness level of the display prior to capturing the image comprises displaying a dark light or black light.
4. The method of claim 1 , further comprising:
returning the display to a previous state upon capturing the image, the previous state being prior to the brightness level of the display being adjusted.
5. The method of claim 4 , wherein the previous state comprises a preview of the scene displayed on the display.
6. The method of claim 1 , wherein detecting the one or more reflective objects comprises using one or more machine learning operations for recognizing the one or more reflective objects.
7. The method of claim 1 , further comprising using one or more machine learning operations for determining whether the one or more factors associated with the display and the one or more reflective objects will cause the disturbance in the image.
8. The method of claim 1 , wherein determining whether the display will cause the disturbance when the image is captured comprises using one or more machine learning operations for recognizing a reflection of the display in the scene.
9. The method of claim 1 , wherein capturing the image comprises capturing a self-portrait using a front facing camera of the computing device, the front facing camera oriented in a direction aligned with the display.
10. The method of claim 1 , further comprising:
retaining the brightness level of the display while capturing the image upon determining that the display will not cause the disturbance.
11. The method of claim 1 , wherein the one or more reflective objects comprise one or more spectacles, helmet visors, reflective wearable devices, or reflective background surfaces.
12. The method of claim 1 , wherein detecting one or more reflective objects in the scene comprises detecting one or more reflective objects in a preview of the scene displayed on the display.
13. The method of claim 1 , wherein the disturbance comprises one or more reflections of the display being present in the image of the scene captured by the computing device.
14. An apparatus for capturing one or more images, the apparatus comprising:
a memory; and
a processor implemented in circuitry and configured to:
detect one or more reflective objects in a scene;
determine whether one or more factors associated with a display provided in the apparatus and the one or more reflective objects will cause a disturbance in an image of the scene when the image is captured by the apparatus, the disturbance being based on one or more reflections of the display on the one or more reflective objects, wherein the one or more factors comprise at least one of a respective relative position between the display and each respective reflective object of the one or more reflective objects, ambient light, brightness of the display, or a respective shape of each respective reflective object of the one or more reflective objects; and
adjust a brightness level of the display prior to capturing the image based on determining that the display will cause the disturbance.
15. The apparatus of claim 14 , wherein, to adjust the brightness level of the display prior to capturing the image, the processor is configured to dim the display or turning off the display.
16. The apparatus of claim 14 , wherein, to adjust the brightness level of the display prior to capturing the image, the processor is configured to display a dark light or black light.
17. The apparatus of claim 14 , wherein the processor is further configured to:
return the display to a previous state upon capturing the image, the previous state being prior to the brightness level of the display being adjusted.
18. The apparatus of claim 17 , wherein the previous state comprises a preview of the scene displayed on the display.
19. The apparatus of claim 14 , wherein, to detect the one or more reflective objects, the processor is configured to use one or more machine learning operations for recognizing the one or more reflective objects.
20. The apparatus of claim 14 , wherein, to determine whether the display will cause the disturbance when the image is captured, the processor is configured to use one or more machine learning operations for determining whether the one or more factors associated with the display and the one or more reflective objects will cause the disturbance in the image.
21. The apparatus of claim 14 , wherein, to determine whether the display will cause the disturbance when the image is captured, the processor is configured to use one or more machine learning operations for recognizing a reflection of the display in the scene.
22. The apparatus of claim 14 , wherein, to capture the image, the processor is configured to capture a self-portrait using a front facing camera of the apparatus, the front facing camera oriented in a direction aligned with the display.
23. The apparatus of claim 14 , wherein the processor is further configured to:
retain the brightness level of the display while capturing the image upon determining that the display will not cause the disturbance.
24. The apparatus of claim 14 , wherein the one or more reflective objects comprise one or more spectacles, helmet visors, reflective wearable devices, or reflective background surfaces.
25. The apparatus of claim 14 , wherein the disturbance comprises one or more reflections of the display being present in the image of the scene captured by the apparatus.
26. The apparatus of claim 14 , wherein the apparatus comprises a mobile device with at least one camera for capturing one or more images.
27. The apparatus of claim 14 , wherein the one or more reflective objects comprise one or more spectacles, helmet visors, reflective wearable devices, or reflective background surfaces.
28. The apparatus of claim 14 , wherein detecting one or more reflective objects in the scene comprises detecting one or more reflective objects in a preview of the scene displayed on the display.
29. A non-transitory computer-readable medium having stored thereon instructions that, when executed by one or more processors, cause the one or more processors to:
detect one or more reflective objects in a scene;
determine whether one or more factors associated with a display provided in a computing device will cause a disturbance in an image of the scene when the image is captured by the computing device, the disturbance being based on one or more reflections of the display on the one or more reflective objects, wherein the one or more factors comprise at least one of a respective relative position between the display and each respective reflective object of the one or more reflective objects, ambient light, brightness of the display, or a respective shape of each respective reflective object of the one or more reflective objects; and
adjust a brightness level of the display prior to capturing the image based on determining that the display will cause the disturbance.
30. An apparatus for capturing one or more images, the apparatus comprising:
means for detecting one or more reflective objects in a scene;
means for determining whether a display provided in the apparatus will cause a disturbance when an image of the scene is captured by the apparatus, the disturbance being based on one or more reflections of the display on the one or more reflective objects; and
means for adjusting a brightness of the display prior to capturing the image based on determining that the display will cause the disturbance.