Abstract: This disclosure provides an image composition system and its method. The system includes: an image capturing unit configured for capturing at least one first image of a real object; a depth information generating unit disposed on the image capturing unit and configured for measuring a depth information between the depth information generating unit and the real object; a computing unit receiving the at least one first image and the depth information, performing the computation of removing a noise caused by a moving object other than the real object from the received depth information, and computing a moving trajectory of the image capturing unit; and a composition unit compositing the at least one first image and a second image of a virtual scene, and display the composited result on a display unit.

Abstract: A virtual image display apparatus configured to be in front of at least one eye of a user includes an image display unit, a first beam splitting unit, and a reflection-refraction unit. The image display unit provides an image beam. The first beam splitting unit disposed on transmission paths of the image beam and an object beam causes at least one portion of the object beam to propagate to the eye and causes at least one portion of the image beam to propagate to the reflection-refraction unit. The reflection-refraction unit includes a lens portion and a reflecting portion on a first curved surface of the lens portion. At least part of the image beam travels through the lens portion, is reflected by the reflecting portion, travels trough the lens portion again, and is propagated to the eye by the first beam splitting unit in sequence.

Abstract: A method of converting 2D images to 3D images and system thereof is provided. According to one embodiment, the method comprises receiving a plurality of 2D images from an imaging device; obtaining motion parameters from a sensor associated with the imaging device; selecting at least two 2D images from the plurality of 2D images based on the motion parameters; determining a depth map based on the selected 2D images and the motion parameters corresponding to the selected 2D images; and generating a 3D image based on the depth map and one of the plurality of 2D images.

Abstract: A ranging apparatus including an image sensor, an imaging lens, and a processor is provided. The imaging lens is configured to image an object on the image sensor to produce an image signal having at least one image parameter, wherein the at least one image parameter changes with a change of an object distance of the object. The processor is configured to determine the change of the object distance according to a change of the at least one image parameter. A ranging method and an interactive display system are also provided.

Abstract: This disclosure provides an image composition system and its method. The system includes: an image capturing unit configured for capturing at least one first image of a real object; a depth information generating unit disposed on the image capturing unit and configured for measuring a depth information between the depth information generating unit and the real object; a computing unit receiving the at least one first image and the depth information, performing the computation of removing a noise caused by a moving object other than the real object from the received depth information, and computing a moving trajectory of the image capturing unit; and a composition unit compositing the at least one first image and a second image of a virtual scene, and display the composited result on a display unit.

Abstract: Methods for generating stereoscopic views from monoscopic endoscope images and systems using the same are provided. First, monoscopic images are obtained by capturing images of organs in an operating field via an endoscope. A background depth map of the operating field is obtained for each image. An instrument depth map corresponding to an instrument is obtained for each image, wherein the instrument is inserted in a patient's body cavity. The background depth maps and the instrument depth maps are merged to generate an integrated depth map for each image. Stereoscopic views are generated according to the monoscopic images and the integrated depth maps.

Abstract: Methods for generating depth maps from monocular still image or monocular video and systems using the same are provided. First, an initial depth map is estimated or arbitrary defined. For video inputs, motion information can be used, for still image the initial background can be arbitrary set by default, chosen by the user or can be estimated. Estimation of the initial depth map can be based on a contrast map or a blur map. The initial depth map defines initial depth values for the respective pixels of the monocular image or monocular motion picture frames. The respective pixels of the original image or video frame data are mapped to the initial depth map according to positions of the pixels, in order to obtain corresponding initial depth values.

Abstract: An optical-see-through head mounted display (HMD) system is provided. The optical-see-through HMD system has a camera for generating image frames, a display device and a processor. The processor proceeds an interactive operation on each image frame. In the interactive operation, an image analysis is performed on the image frame to obtain positioning information of a marker and 3-dimensional information of an input device. According to the positioning information, the 3-dimensional information and eye position of an user, an image shielding process is performed to correct a portion of the frame to be displayed which is corresponding to the input device and a collision test is performed according to the positioning information and the 3-dimensional information of an input device to determine whether the input device touches the virtual image displayed by HMD. Then, an event corresponding to the touch position of the virtual image is executed.

Abstract: A method and an image acquisition system for rendering stereoscopic images from monoscopic images are provided. In the present method, an imaging unit of the image acquisition system is moved laterally back and forth to capture a plurality of images. Then, a disparity between each two of the captured images is computed and a one or more pairs of images having an appropriate fixed disparity is selected from the captured images. Finally, the selected one or more pairs of images is displayed so as to render a stereoscopic image.

Abstract: A virtual image display apparatus configured to be in front of at least one eye of a user includes an image display unit, a first beam splitting unit, and a reflection-refraction unit. The image display unit provides an image beam. The first beam splitting unit disposed on transmission paths of the image beam and an object beam causes at least one portion of the object beam to propagate to the eye and causes at least one portion of the image beam to propagate to the reflection-refraction unit. The reflection-refraction unit includes a lens portion and a reflecting portion on a first curved surface of the lens portion. At least part of the image beam travels through the lens portion, is reflected by the reflecting portion, travels trough the lens portion again, and is propagated to the eye by the first beam splitting unit in sequence.

Abstract: An image processing method includes the following steps. An input data including a number of original data are received. The original data are converted into a number of converted emulation voltage signals. At least a simulation circuit model including at least a spatial data node, at least a diffusion node and at least a connection device is established, wherein, the at least a connection device is coupled to a part or all of the at least a spatial data node and the at least a diffusion node. A part or all of the converted emulation voltage signals are supplied to the diffusion node to achieve voltage diffusion among the spatial data nodes and the diffusion nodes via the connection device, so that at least a diffused emulation voltage signal is obtained on the diffusion nodes. Then, processed image data are generated according to the diffused emulation voltage signals.

Abstract: An optical-see-through head mounted display (HMD) system is provided. The optical-see-through HMD system has a camera for generating image frames, a display device and a processor. The processor proceeds an interactive operation on each image frame. In the interactive operation, an image analysis is performed on the image frame to obtain positioning information of a marker and 3-dimensional information of an input device. According to the positioning information, the 3-dimensional information and eye position of an user, an image shielding process is performed to correct a portion of the frame to be displayed which is corresponding to the input device and a collision test is performed according to the positioning information and the 3-dimensional information of an input device to determine whether the input device touches the virtual image displayed by HMD. Then, an event corresponding to the touch position of the virtual image is executed.

Abstract: Methods for generating stereoscopic views from monoscopic endoscope images and systems using the same are provided. First, monoscopic images are obtained by capturing images of organs in an operating field via an endoscope. A back-ground depth map of the operating field is obtained for each image. An instrument depth map corresponding to an instrument is obtained for each image, wherein the instrument is inserted in a patient's body cavity. The background depth maps and the instrument depth maps are merged to generate an integrated depth map for each image. Stereoscopic views are generated according to the monoscopic images and the integrated depth maps.

Abstract: The present invention discloses a depth map generation module for a foreground object and the method thereof. The depth map generation method for a foreground object comprises the following steps: receiving an image sequence data, wherein the image sequence data includes a plurality of image frames; selecting at least one key image frame from the image sequence data; providing at least one depth indicative information and a contour of a first segment in the at least one key image frame; and performing a signal processing steps by a microprocessor.

Abstract: Methods for generating depth maps from monocular still image or monocular video and systems using the same are provided. First, an initial depth map is estimated or arbitrary defined. For video inputs, motion information can be used, for still image the initial background can be arbitrary set by default, chosen by the user or can be estimated. Estimation of the initial depth map can be based on a contrast map or a blur map. The initial depth map defines initial depth values for the respective pixels of the monocular image or monocular motion picture frames. The respective pixels of the original image or video frame data are mapped to the initial depth map according to positions of the pixels, in order to obtain corresponding initial depth values.

Abstract: A stereoscopic image shooting system including an image shooting module and a score evaluation module is provided. The image shooting module is used for shooting a plurality of multi-view images of an object. The score evaluation module analyzes a plurality of stereoscopic images formed from the multi-view images to calculate a stereoscopic quality score of the stereoscopic images.

Abstract: A method and a system for developing a new-view image from an original image with a corresponding depth map is provided. The original image has a plurality of original pixels and the new-view image has at least a new-view pixel. The method for developing the new-view image comprises the following steps. According to a corresponding depth value of each original pixel, a corresponding position of each original pixel corresponding to the new-view pixel is estimated. An occupancy proportion of each original pixel occupying the new-view pixel is estimated according to the corresponding position of each original pixel. An estimated color of an estimated partial pixel of the new-view pixel is initially obtained according to the occupancy proportion of one selected original pixel. The estimated partial pixel is updated according to the occupancy proportions and estimated occlusion proportion of the other selected original pixels one by one.

Abstract: The present invention discloses a depth map generation module for a foreground object and the method thereof. The depth map generation method for a foreground object comprises the following steps: receiving an image sequence data, wherein the image sequence data includes a plurality of image frames; selecting at least one key image frame from the image sequence data; providing at least one depth indicative information and a contour of a first segment in the at least one key image frame; and performing a signal processing steps by a microprocessor.

Abstract: A method for refining a three-dimensional image includes identifying a depth image of the three-dimensional image, and establishing a simulation circuit model by a processor. The simulation circuit model includes data nodes, diffusion nodes and connection devices, the connection devices connecting the data nodes and the diffusion nodes, the simulation circuit model assigning emulation voltage signals to the data nodes, the assigned emulation voltage signals being substantially correlated to depth data. The processor applies an optimization operation to generate diffused voltage signals for the diffusion nodes due to at least a redistribution of at least some of the emulation voltage signals to the diffusion nodes through the connection devices, and updates the depth data of the depth image based on the diffused voltage signals.

Abstract: An image processing method is provided. Firstly, input data including a number of original data are received. Next, the original data are converted into a number of converted emulation voltage signals. Then, at least a simulation circuit model including at least a spatial data node, at least a diffusion node and at least a connection device is established, wherein, the at least a connection device is coupled to a part or all of the at least a spatial data node and the at least a diffusion node. Afterwards, a part or all of the converted emulation voltage signals are supplied to the diffusion node to achieve voltage diffusion among the spatial data nodes and the diffusion nodes via the connection device, so that at least a diffused emulation voltage signal is obtained on the diffusion nodes. After that, processed image data are generated according to the diffused emulation voltage signals.