Method and apparatus for selective disqualification of digital images
View Patent ↗An unsatisfactory scene is disqualified as an image acquisition control for a camera. An image is acquired. One or more eye regions are determined. The eye regions are analyzed to determine whether they are blinking, and if so, then the scene is disqualified as a candidate for a processed, permanent image while the eye is completing the blinking.
1. A method of selectively disqualifying a scene as a candidate for permanent capture, storage or processing, or combinations thereof, the method comprising:
identifying a key feature within a scene in a preacquisition stage, in a video stream or within a collection of preview images, or combinations thereof;
determining that an occluding object is currently occluding a significant portion of the key feature;
rejecting the scene as a candidate for digital image capture due to the occluding;
performing one or both of shape analysis and temporal analysis of movement of the occluding object relative to the key feature; and
automatically acquiring a digital image after delaying for a period of time, wherein the delaying of said acquiring the new image corresponds to an estimated time for said occluding of said key feature to end based on said one or both of shape analysis and temporal analysis of movement.
2. The method of claim 1 , wherein the identifying comprises acquiring the scene within a collection of preview images.
3. The method of claim 1 , wherein the one or both of shape analysis and temporal analysis comprises determining a speed at which the occluding object is moving into or out of the scene.
4. The method of claim 1 , wherein the one or both of shape analysis and temporal analysis comprises determining a speed of the occluding object for determining when the occluding will end.
5. The method of claim 1 , wherein the one or both of shape analysis and temporal analysis comprises a speed and a direction of the movement of the occluding object.
6. The method of claim 1 , further comprising determining an extent to which the key feature is showing.
7. The method of claim 6 , further comprising determining whether the key feature is currently being covered or uncovered.
8. The method of claim 1 , wherein the key feature comprises a face, eye or mouth region, or combinations thereof.
9. The method of claim 1 , wherein the performing one or both of shape analysis and temporal analysis of movement comprises determining a direction of movement of the occluding object.
10. The method of claim 1 , wherein the performing one or both of shape analysis and temporal analysis comprises determining a degree of blurriness of the occluding object due to object movement during exposure.
11. One or more non-transitory computer readable media having code embedded therein for programming a processor to perform a method of selectively disqualifying a scene as a candidate for permanent capture, storage or processing, or combinations thereof, the method comprising:
identifying a key feature within a scene in a preacquisition stage, in a video stream or within a collection of preview images, or combinations thereof;
determining that an occluding object is currently occluding a significant portion of the key feature;
rejecting the scene as a candidate for digital image capture due to the occluding;
performing one or both of shape analysis and temporal analysis of movement of the occluding object relative to the key feature; and
automatically acquiring a digital image after delaying for a period of time, wherein the delaying of said acquiring the digital image corresponds to an estimated time for said occluding of said key feature to end based on said one or both of shape analysis and temporal analysis of movement.
12. The one or more computer readable media of claim 11 , wherein the identifying comprises acquiring a collection of preview images.
13. The one or more computer readable media of claim 11 , wherein the one or both of shape analysis and temporal analysis comprises determining a speed at which the occluding object is moving into or out of the scene.
14. The one or more computer readable media of claim 11 , wherein the one or both of shape analysis and temporal analysis comprises determining a speed of the occluding object for determining when the occluding will end.
15. The one or more computer readable media of claim 11 , wherein the one or both of shape analysis and temporal analysis comprises a speed and a direction of the movement of the occluding object.
16. The one or more computer readable media of claim 11 , wherein the method further comprises determining an extent to which the key feature is showing.
17. The one or more computer readable media of claim 16 , wherein the method further comprises determining whether the key feature is currently being covered or uncovered.
18. The one or more computer readable media of claim 11 , wherein the key feature comprises a face, eye or mouth region, or combinations thereof.
19. The one or more computer readable media of claim 11 , wherein the performing one or both of shape analysis and temporal analysis of movement comprises determining a direction of movement of the occluding object.
20. The one or more computer readable media of claim 11 , wherein the performing one or both of shape analysis and temporal analysis comprises determining a degree of blurriness of the occluding object due to object movement during exposure.
21. A digital image acquisition device, comprising:
a lens and image sensor for acquiring digital images;
a processor; and
one or more computer readable media having code embedded therein for programming a processor to perform a method of selectively disqualifying a scene as a candidate for permanent capture, storage or processing, or combinations thereof, wherein the method comprises:
identifying a key feature within a scene in a preacquisition stage, in a video stream or within a collection of preview images, or combinations thereof;
determining that an occluding object is currently occluding a significant portion of the key feature;
rejecting the scene as a candidate for digital image capture due to the occluding;
performing one or both of shape analysis and temporal analysis of movement of the occluding object relative to the key feature; and
automatically acquiring a digital image to replace the present image after delaying for a period of time, wherein the delaying of said acquiring the digital image corresponds to an estimated time for said occluding of said key feature to end based on said one or both of shape analysis and temporal analysis of movement.
22. The digital image acquisition device of claim 21 , wherein the identifying comprises acquiring a collection of preview images.
23. The digital image acquisition device of claim 21 , wherein the one or both of shape analysis and temporal analysis comprises determining a speed at which the occluding object is moving into or out of the scene.
24. The digital image acquisition device of claim 21 , wherein the one or both of shape analysis and temporal analysis comprises determining a speed of the occluding object for determining when the occluding will end.
25. The digital image acquisition device of claim 21 , wherein the one or both of shape analysis and temporal analysis comprises a speed and a direction of the movement of the occluding object.
26. The digital image acquisition device of claim 21 , wherein the method further comprises determining an extent to which the key feature is showing.
27. The digital image acquisition device of claim 26 , wherein the method further comprises determining whether the key feature is currently being covered or uncovered.
28. The digital image acquisition device of claim 21 , wherein the key feature comprises a face, eye or mouth region, or combinations thereof.
29. The digital image acquisition device of claim 21 , wherein the performing one or both of shape analysis and temporal analysis of movement comprises determining a direction of movement of the occluding object.
30. The digital image acquisition device of claim 21 , wherein the performing one or both of shape analysis and temporal analysis comprises determining a degree of blurriness of the occluding object due to object movement during exposure.