Abstract: The present invention includes methods, systems, devices and associated processing logic for generating stereoscopic 3-Dimensional images and/or video from 2-Dimensional images or video. There may be provided a stereoscopic 3D generating system to extrapolate and render 2D complementary images and or video from a first 2D image and/or video. The complementary images and/or video, when combined with the first image or video, or a second complementary image or video, form a stereoscopic image of the scene captured in the first image or video. The stereoscopic 3D generation system may generate a complementary image or images, such that when a viewer views the first image or a second complementary image (shifted in the other direction from the first complementary image) with one eye and the complementary image with the other eye, an illusion of depth in the image is created (e.g. a stereoscopic 3D image).

Abstract: There is provided in accordance with some embodiments of the present invention an optical assembly including a set of optical paths, wherein two or more optical paths receive an image from a common surface. The optical paths may direct received images onto a common image sensor generating a complex multidimensional data set, an image processing block may extrapolate each of the subset of optical paths printed on the image sensor and may generate a multidimensional data set based on the collected images.

Abstract: Disclosed are methods, circuits, apparatus, systems and computer executable code for providing a multimode touchless human machine interface (TLHMI). The TLHMI may include one or more touchless sensors to sense a position or a movement of a subject portion within a sensing zone of the one or more sensors. Tracking logic may receive an output of the one or more sensors and may track a position or movement of a portion of a computing platform user within the sensing zone. A user input generator may convert an output of the tracking logic into signals indicative of a user input and may provide the user input signals to a functionally associated computing platform.

Abstract: Disclosed are systems, methods and circuits for human to machine interfacing using one or more 3D hand skeleton models, comprising an image acquisition circuit to acquire a 2D image of a hand, a hand feature identifier module to identify hand features in an acquired image and an image skeleton builder module to generate a 2D skeleton dataset of the hand using identified features. A 3D skeleton builder module is adapted to generate a 3D hand skeleton dataset by determining a configuration of some or all of the one or more 3D hand skeleton models whose 2D projection substantially corresponds to the generated 2D skeleton dataset.

Abstract: Disclosed is an image based human machine interface which comprises an image acquisition assembly which may acquire one or more of two-dimensional images of a user, wherein substantially each image may be associated with a different point in time. The human machine interface further comprises a processing unit which may classify one or more groups of pixels as either background or foreground.

Abstract: There is provided in accordance with some embodiments of the present invention an optical assembly including a set of optical paths, wherein two or more optical paths receive an image from a common surface. The optical paths may direct received images onto a common image sensor generating a complex multidimensional data set, an image processing block may extrapolate each of the subset of optical paths printed on the image sensor and may generate a multidimensional data set based on the collected images.

Abstract: There is provided a 3D human machine interface (“3D HMI”), which 3D HMI may include: (1) an image acquisition assembly, (2) an initializing module, (3) an image segmentation module, (4) a segmented data processing module, (5) a scoring module, (6) a projection module, (7) a fitting module, (8) a scoring and error detection module, (9) a recovery module, (10) a three dimensional correlation module, (11) a three dimensional skeleton prediction module, (12) an output module and (13) a depth extraction module.

Abstract: An apparatus for 3D representation of image data, comprises: a structure identifier for identifying structures in motion within image data, and a skeleton insertion unit, which associates three-dimensional skeleton elements with the identified structures. The skeleton elements are able to move with the structures to provide a three-dimensional motion and structure understanding of said image data which can be projected back onto the input data. As well as individual elements, complex bodies can be modeled by complex skeletons having multiple elements. The skeleton elements themselves can be used to identify the complex objects.

Abstract: An apparatus for 3D representation of image data, comprising: a structure identifier for identifying structures in motion within image data, and a skeleton insertion unit, which associates three-dimensional skeleton elements with the identified structures. The skeleton elements are able to move with the structures to provide a three-dimensional motion and structural understanding of said image data which can be projected back onto the input data. As well as individual elements, complex bodies can be modeled by complex skeletons having multiple elements. The skeleton elements themselves can be used to identify the complex objects.

Abstract: An apparatus for 3D representation of image data, comprising: a structure identifier for identifying structures in motion within image data, and a skeleton insertion unit, which associates three-dimensional skeleton elements with the identified structures. The skeleton elements are able to move with the structures to provide a three-dimensional motion and structural understanding of said image data which can be projected back onto the input data. As well as individual elements, complex bodies can be modeled by complex skeletons having multiple elements. The skeleton elements themselves can be used to identify the complex objects.