Abstract: The disclosure provides an improvement to digital fringe projection techniques in which the optimal focal length settings are automatically determined for reconstructing a 3D profile. In a pre-calibration phase, geometric parameters of the system are calibrated using a few discrete focal length settings. These discretely calibrated geometric parameters are fitted onto a continuous function model. In a 3D autofocusing phase, a set of optimal focal length settings for a scene are determined using a 2D autofocusing technique. Calibrated geometric parameters for each optimal focal length setting are automatically calculated using the continuous geometric parameter model. Finally, a 3D profile of objects in the scene is reconstructed using the calibrated geometric parameters for each optimal focal length setting.

Abstract: The disclosure provides an improvement to digital fringe projection techniques in which the optimal focal length settings are automatically determined for reconstructing a 3D profile. In a pre-calibration phase, geometric parameters of the system are calibrated using a few discrete focal length settings. These discretely calibrated geometric parameters are fitted onto a continuous function model. In a 3D autofocusing phase, a set of optimal focal length settings for a scene are determined using a 2D autofocusing technique. Calibrated geometric parameters for each optimal focal length setting are automatically calculated using the continuous geometric parameter model. Finally, a 3D profile of objects in the scene is reconstructed using the calibrated geometric parameters for each optimal focal length setting.

Abstract: The present invention discloses a depth map super-resolution processing method, including: firstly, respectively acquiring a first original image (S1) and a second original image (S2) and a low resolution depth map (d) of the first original image (S1); secondly, 1) dividing the low resolution depth map (d) into multiple depth image blocks; 2) respectively performing the following processing on the depth image blocks obtained in step 1); 21) performing super-resolution processing on a current block with multiple super-resolution processing methods, to obtain multiple high resolution depth image blocks; 22) obtaining new synthesized image blocks by using an image synthesis technology; 23) upon matching and judgment, determining an ultimate high resolution depth image block; and 3) integrating the high resolution depth image blocks of the depth image blocks into one image according to positions of the depth image blocks in the low resolution depth map (d).

Abstract: A cross-layer architecture is provided for delivering multiple media streams over 3G W-CDMA channels in adaptive multimedia wireless networks. A resource management mechanism dynamically allocates resources among different media streams adapted to channel status and Quality of Service (QoS) requirements. By taking the time-varying wireless transmission characteristics into account, an allocation of resources is performed based on a minimum-distortion or minimum-power criterion. Estimates of the time-varying wireless transmission conditions are made through measurements of throughput and error rate. Power and distortion minimized bit allocation schemes are used with the estimated wireless transmission conditions to for dynamically adaptations in transmissions.

Abstract: A cross-layer architecture is provided for delivering multiple media streams over 3G W-CDMA channels in adaptive multimedia wireless networks. A resource management mechanism dynamically allocates resources among different media streams adapted to channel status and Quality of Service (QoS) requirements. By taking the time-varying wireless transmission characteristics into account, an allocation of resources is performed based on a minimum-distortion or minimum-power criterion. Estimates of the time-varying wireless transmission conditions are made through measurements of throughput and error rate. Power and distortion minimized bit allocation schemes are used with the estimated wireless transmission conditions to for dynamically adaptations in transmissions.