3dmedia Corporation

Atmel Corporation

Marshall Robers

Michael McNamer

Tassos Markas

Jason Paul Hurst

Jon Boyette

Joseph D Wagovich

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.

Methods, systems, and computer-readable storage media for generating three-dimensional (3D) images of a scene

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.

Methods, systems, and computer-readable storage media for selecting image capture positions to generate three-dimensional images

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.

Methods, systems, and computer-readable storage media for identifying a rough depth map in a scene and for determining a stereo-base distance for three-dimensional (3D) content creation

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.

Methods, systems, and computer-readable storage media for creating three-dimensional (3D) images of a scene

Disclosed is a pipelined motion estimation system and method. The pipelined motion estimation system includes a current frame input storage means for storing contents of a current frame and a previous frame input storage means for storing contents of one or more previous frames. A sum-of-absolute differences calculation module concurrently determines a best fit motion vector from a plurality of potential motion vectors where each of the plurality of potential motion vectors is based upon a pixel-based search pattern. A sum-of-absolute differences (SAD) logic block concurrently determines a minimum residual value from the plurality of motion vectors. The motion vector having the minimum residual value is used as a component in encoding video data.

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Durham, NC, United States of America

Marshall Robers