National Taiwan University

Himax Technologies, Inc.

National Science Council

Acer Inc.

Asustek Computer Inc.

Etron Technology, Inc.

Avermedia Technologies, Inc.

Taiwan University

Liang-Gee Chen

Chao-Chung Cheng

Ling-Hsiu Huang

Chung-Te Li

Yen-Chieh Lai

Yuan-Chen Liu

Yu-Lin Chang

Tsung-Han Tsai

Yeong-Kang Lai

Shao-Yi Chien

Yu-Wei Chang

Wan-Yu Chen

You-Ming Tsao

Chia-Kai Liang

Sih-Sian Wu

Po-Cheng Wu

Chien Wu

Yung-Pin Lee

Hung-Chi Fang

Shen-Iuan Liu

Chi-Feng Lee

Homer H Chen

Ching-Yuan Yang

Chia-Ho Pan

Patrick Chou

Ryan Chen

Chao-Tsung Huang

Shyh-Feng Lin

Chuan-Yung Tsai

Po-Chih Tseng

Tu-Chih Wang

Shyh-Yih Ma

Hsin-Yu Hou

Yung-Ping Lee

Hsu-Tung Chen

Da-Fang Chang

Jing-Ying Chang

Ren-Jr Wu

Yi-Min Tsai

Yu-Ling Chang

Yu-Seng Hsu

Ya-Yun Shih

A digital filter for filtering signals includes a processer and a memory. The processer receives a plurality of input signal values and a plurality of input aggregated values corresponding to the plurality of input signal values. The memory saves a signal value set and a statistical information set. The processer generates a check result according to the plurality of input signal values and the signal value set. The processer updates the statistical information set of the memory according to the check result, and decides whether to insert at least one new signal value into the signal value set of the memory, wherein the processer generates an output value according to the signal value set and the statistical information set of the memory.

Digital filter for filtering signals

A displacement-oriented view synthesis system includes a plurality of three-dimensional (3D) warping devices each coupled to receive at least one input image captured from a corresponding reference view, and each performing 3D warping on the input image to generate at least one corresponding warped image in a target view; a view blending device coupled to receive the warped images, and performing view blending on the warped images to generate at least one blended image in the target view; and an inpainting device coupled to receive the blended image, and performing inpainting on the blended image to generate a synthesized image in the target view. The inpainting is performed according to a difference displacement between frames of different views.

Displacement-oriented view synthesis system and method

A temporally consistent belief propagation system includes a disparity map buffer that provides a disparity map of a previous time; a belief propagation unit that generates an energy function according to a first image of a present time, a second image of the present time, a first image of the previous time and the disparity map of the previous time; and a disparity generating unit that generates a disparity map of the present time according to the energy function.

Temporally consistent belief propagation system and method

An exemplary embodiment of the present disclosure illustrates a network on chip processor including multiple cores and a Kautz NoC. Each of the cores is assigned with an addressing string with L based-D words, and the addressing string does not have two neighboring identical words, wherein L present of an addressing string length is an integer larger than 1, D present of a word selection is an integer larger than 2. Each of the cores is unidirectionally link to other (D&#x2212;1) cores through the Kautz NoC, and in the two connected cores, the last (L&#x2212;1) words associated with the addressing string of one core are same as the first (L&#x2212;1) words associated with the addressing string of the other core.

Network on chip processor with multiple cores and routing method thereof

An example process to enhance a two-dimensional (2D) image may include generating a depth map for the 2D image based on edges detected from the 2D image, wherein the depth map can be used to convert the 2D image to a 3D image. The process may further include enhancing the 2D image using the depth map.

Real-time depth-aware image enhancement system

In accordance with at least some embodiments of the present disclosure, a processor for performing stereo matching of a first image and a second image is described. The processor may include a first pipeline stage configured to generate data costs associated with a first tile selected from the first image, wherein the data costs is generated based on pixels in the first tile and corresponding pixels in the second image. The processor may include a second pipeline stage configured to generate disparity values associated with the first tile and an outbound message from the first tile to one of neighboring tiles in the first image, wherein the disparity values and the outbound message are generated based on the data costs and inbound messages from the neighboring tiles to the first tile. The processor may further include a third pipeline stage configured to store the disparity values and the outbound message in a memory, wherein the outbound message is used by the second pipeline stage as one of the inbound messages during processing of a second tile selected from the first image.

Stereo-matching processor using belief propagation

A system and method of correcting a depth map for 3D image is disclosed. A spatial spectral transform unit extracts pixels of object boundaries according to an input image, wherein the spatial spectral transform unit adopts Hilbert-Huang transform (HHT). A correction unit corrects an input depth map corresponding to the input image according to the pixels of object boundaries, thereby resulting in an output depth map.

System and method of correcting a depth map for 3D image

A method of revising depth of a three-dimensional (3D) image is disclosed. The method comprises the following steps: firstly, at least one initial depth map associated with one image of the 3D image pair based on stereo matching technique is received, wherein the one image comprises a plurality of pixels, and the initial depth map carries an initial depth value of each pixel. Then, the inconsistence among the pixels of the one image of the 3D image pair is detected to estimate a reliable map. Finally, the initial depth value is interpolated according to the reliable map and the proximate pixels, so as to generate a revised depth map by revising the initial depth value.

System and method of revising depth of a 3D image pair

In accordance with at least some embodiments of the present disclosure, a process for generating a depth map for converting a two-dimensional (2D) image to a three-dimensional (3D) image is described. The process may include generating a depth gradient map from the 2D image, wherein the depth gradient map is configured to associate one or more edge counts with one or more depth values, extracting an image component from the 2D image, wherein the image component is associated with a color component in a color space, determining a set of gains to adjust the depth gradient map based on the image component, and generating the depth map by performing depth fusion based on the depth gradient map and the set of gains.

Depth map generation for a video conversion system

A display system for improving visual comfort and a method of adaptively adjusting resolution of a display device are provided. The display system includes a display device, a memory, an image sensor, a face recognition unit, a distance detection unit, and a controller. The memory stores face representation data and user preference data. The image sensor captures an image and converts it into an electrical signal. The face recognition unit analyzes that electrical signal to recognize a face image and compares the recognized face image with the face representation data to generate a first signal. The distance detection unit analyzes the electrical signal to determine a distance between the display device and the user to generate a second signal. The controller then generates a parameter based on the first signal and the second signal and adjusts a display resolution of the display device based on the parameter.

System and method for automatically adjusting visual setting of display device

An image rectification method for a video device includes receiving an image that is a facial image of a transmitter from the transmitter, obtaining a first angular deviation with respect to line of sight of the transmitter according to the image, obtaining a second horizontal angular deviation and a second vertical angular deviation with respect to line of sight of a receiver using the video device, and performing an image synthesis procedure on the image according to the first angular deviation, the second horizontal angular deviation and the second vertical angular deviation, for generating an eye-to-eye image sent to the receiver.

Image rectification method and related device for a video device

A method and apparatus of tile-based belief propagation are disclosed. An image is split into a number of tiles. Messages are iteratively generated within each of the tiles based on the messages from neighboring pixels to the tile at a previous iteration, wherein each message represents information of a state of the pixel. The generated messages for sending out of the tiles are stored. Labels are then determined based on the stored messages, wherein each label represents the state of the pixel.

Method and apparatus of tile-based belief propagation

A driving support system with plural dimension processing units (DPUs) for indicating a condition of a surrounding area is disclosed. The driving support system of a vehicle includes plural image capturing devices disposed around the vehicle; at least a dimension processing unit (DPU) connected with the plural image capturing devices for receiving images from the plural image capturing devices and then producing plural related depth maps; a controller connected with the DPU for receiving the plural related depth maps and then producing an indicating data; and a display device connected with the controller for displaying the indicating data around the vehicle in a vertical view.

Driving support system with plural dimension processing units

The invention presents a system and method for obtaining object depth through digital signal processing. The auto depth-field capturing method for a camera includes the steps of a) taking plural images; b) estimating plural epipolar data of the plural images for obtaining a matrix describing motion and directional vectors; c) estimating a location data in response to the plural epipolar data and the matrix; d) rectifying the plural images corresponding to the plural epipolar data for obtaining plural rectified images; e) calculating the location data for obtaining disparity vectors of the rectified images; f) obtaining a depth map in response to the disparity vectors and the location data; and g) painting a 3D image in correspondence with the depth map. The depth estimation method of the present invention is fully automatic without change of the camera itself.

Auto depth field capturing system and method thereof

A stream processing system includes a stream processing module coupled to a memory module and operable so as to fetch stream elements from the memory module, to process the stream elements fetched thereby, and to store processed stream elements in the memory module. The stream processing module includes a number (N) of stream processing units, and the memory module is configured with a number (N) of memory bank units each corresponding to a respective one of the stream processing units. The memory module is reconfigurable based on a desired inter-level configuration so that each of the memory bank units is configured to have a memory size sufficient to meet processing requirement of the respective one of the stream processing units.

Stream processing system having a reconfigurable memory module

Growing community of inventors

Taipei, Taiwan

Liang-Gee Chen