Abstract: Systems and methods for improving overall quality of three-dimensional (3D) content by altering parallax budget and compensating for moving objects are disclosed. According to an aspect, a method includes identifying areas including one or more pixels of the 3D image that violate pre-defined disparity criterion. Further, the method includes identifying a region that includes pixels whose disparity exceeds a predetermined threshold. The method also includes identifying pixels belonging to either left or right images to replace the corresponding ones on the other image. Further, the method includes identifying key pixels to determine disparity attributes of a problem area. The method also includes identifying a proper depth of key pixels. Further, the method includes calculating the disparity of all remaining pixels in the area based on the disparity values of key pixels.

Abstract: Disclosed herein are primary and auxiliary image capture devices for image processing and related methods. According to an aspect, a method may include using primary and auxiliary image capture devices to perform image processing. The method may include using the primary image capture device to capture a first image of a scene, the first image having a first quality characteristic. Further, the method may include using the auxiliary image capture device to capture a second image of the scene. The second image may have a second quality characteristic. The second quality characteristic may be of lower quality than the first quality characteristic. The method may also include adjusting at least one parameter of one of the captured images to create a plurality of adjusted images for one of approximating and matching the first quality characteristic. Further, the method may include utilizing the adjusted images for image processing.

Abstract: Methods, systems, and computer program products for generating three-dimensional images of a scene are disclosed herein. According to one aspect, a method includes receiving a plurality of images of a scene. The method also includes determining attributes of the plurality of images. Further, the method includes determining, based on the attributes, a pair of images from among the plurality of images for use in creating a three-dimensional image. A user can, by use of the subject matter disclosed herein, use an image capture device for capturing a plurality of different images of the same scene and for converting the images into a three-dimensional, or stereoscopic, image of the scene. The subject matter disclosed herein includes a three-dimensional conversion process. The conversion process can include identification of suitable pairs of images, registration, rectification, color correction, transformation, depth adjustment, and motion detection and removal.

Abstract: Disclosed herein are primary and auxiliary image capture devices for image processing and related methods. According to an aspect, a method may include using primary and auxiliary image capture devices to perform image processing. The method may include using the primary image capture device to capture a first image of a scene, the first image having a first quality characteristic. Further, the method may include using the auxiliary image capture device to capture a second image of the scene. The second image may have a second quality characteristic. The second quality characteristic may be of lower quality than the first quality characteristic. The method may also include adjusting at least one parameter of one of the captured images to create a plurality of adjusted images for one of approximating and matching the first quality characteristic. Further, the method may include utilizing the adjusted images for image processing.

Abstract: Methods, systems, and computer program products for selecting image capture positions to generate three-dimensional images are disclosed herein. According to one aspect, a method includes determining a plurality of first guides associated with a first still image of a scene. The method can also include displaying a real-time image of the scene on a display. Further, the method can include determining a plurality of second guides associated with the real-time image. The method can also include displaying the first and second guides on the display for guiding selection of a position of an image capture device to capture a second still image of the scene for pairing the first and second still images as a stereoscopic pair of a three-dimensional image.

Abstract: Disclosed herein are primary and auxiliary image capture devices for image processing and related methods. According to an aspect, a method may include using primary and auxiliary image capture devices to perform image processing. The method may include using the primary image capture device to capture a first image of a scene, the first image having a first quality characteristic. Further, the method may include using the auxiliary image capture device to capture a second image of the scene. The second image may have a second quality characteristic. The second quality characteristic may be of lower quality than the first quality characteristic. The method may also include adjusting at least one parameter of one of the captured images to create a plurality of adjusted images for one of approximating and matching the first quality characteristic. Further, the method may include utilizing the adjusted images for image processing.

Abstract: Disclosed herein are primary and auxiliary image capture devices for image processing and related methods. According to an aspect, a method may include using primary and auxiliary image capture devices to perform image processing. The method may include using the primary image capture device to capture a first image of a scene, the first image having a first quality characteristic. Further, the method may include using the auxiliary image capture device to capture a second image of the scene. The second image may have a second quality characteristic. The second quality characteristic may be of lower quality than the first quality characteristic. The method may also include adjusting at least one parameter of one of the captured images to create a plurality of adjusted images for one of approximating and matching the first quality characteristic. Further, the method may include utilizing the adjusted images for image processing.

Abstract: Disclosed herein are primary and auxiliary image capture devices for image processing and related methods. According to an aspect, a method may include using primary and auxiliary image capture devices to perform image processing. The method may include using the primary image capture device to capture a first image of a scene, the first image having a first quality characteristic. Further, the method may include using the auxiliary image capture device to capture a second image of the scene. The second image may have a second quality characteristic. The second quality characteristic may be of lower quality than the first quality characteristic. The method may also include adjusting at least one parameter of one of the captured images to create a plurality of adjusted images for one of approximating and matching the first quality characteristic. Further, the method may include utilizing the adjusted images for image processing.

Abstract: Methods, systems, and computer program products for determining a depth map in a scene are disclosed herein. According to one aspect, a method includes collecting focus statistical information for a plurality of focus windows. The method may also include determining a focal distance for each window. Further, the method may include determining near, far, and target focus distances. The method may also include calculating a stereo-base and screen plane using the focus distances.

Abstract: Methods and systems for creating three-dimensional video sequences of a scene are disclosed. An example method can include receiving multiple frames of a scene. The method may include selecting a target frame from among the multiple frames; selecting a first subset of frames, N, from among the multiple frames that are associated with the target frame that is representative of a large stereo baseline; and analyzing the first frame subset to identify two images for forming a stereoscopic pair of frames. Further, the method includes extracting depth data of static objects in the stereoscopic pair. The method includes selecting a second subset of frames that are associated with the target frame that is representative of a smaller stereo baseline than that represented by N; and utilizing the second frame subset to calculate depth of moving objects. The method includes generating a three-dimensional video frame based on the depth data.

Abstract: Disclosed herein are methods, systems, and computer-readable storage media for generating three-dimensional (3D) images of a scene. According to an aspect, a method includes capturing a real-time image and a first still image of a scene. Further, the method includes displaying the real-time image of the scene on a display. The method also includes determining one or more properties of the captured images. The method also includes calculating an offset in a real-time display of the scene to indicate a target camera positional offset with respect to the first still image. Further, the method includes determining that a capture device is in a position of the target camera positional offset. The method also includes capturing a second still image. Further, the method includes correcting the captured first and second still images. The method also includes generating the three-dimensional image based on the corrected first and second still images.

Abstract: Methods, systems, and computer program products for generating stereoscopic content via depth map creation are disclosed herein. According to one aspect, a method includes receiving a plurality of images of a scene captured at different focal planes. The method can also include identifying a plurality of portions of the scene in each captured image. Further, the method can include determining an in-focus depth of each portion based on the captured images for generating a depth map for the scene. Further, the method can include generating the other image of the stereoscopic image pair based on the captured image where the intended subject is found to be in focus and the depth map.

Abstract: Methods, systems, and computer program products for selecting image capture positions to generate three-dimensional images are disclosed herein. According to one aspect, a method includes determining a plurality of first guides associated with a first still image of a scene. The method can also include displaying a real-time image of the scene on a display. Further, the method can include determining a plurality of second guides associated with the real-time image. The method can also include displaying the first and second guides on the display for guiding selection of a position of an image capture device to capture a second still image of the scene for pairing the first and second still images as a stereoscopic pair of a three-dimensional image.

Abstract: Methods, systems, and computer program products for generating three-dimensional images of a scene are disclosed herein. According to one aspect, a method includes receiving a plurality of images of a scene. The method also includes determining attributes of the plurality of images. Further, the method includes determining, based on the attributes, a pair of images from among the plurality of images for use in creating a three-dimensional image. A user can, by use of the subject matter disclosed herein, use an image capture device for capturing a plurality of different images of the same scene and for converting the images into a three-dimensional, or stereoscopic, image of the scene. The subject matter disclosed herein includes a three-dimensional conversion process. The conversion process can include identification of suitable pairs of images, registration, rectification, color correction, transformation, depth adjustment, and motion detection and removal.