Silicon Integrated Systems Corporation

Eys3d Microelectronics, Co.

Ite Tech. Inc.

Teco Electric & Machinery Co., Ltd.

Teco Electronic & Machinery Co., Ltd.

Wen-Kuo Lin

Chao-Chun Lu

Chung-Yen Lu

Jong-Ho Yan

Shih-Han Chen

Le-Shan Hsueh

Ming-Che Ho

Hsin-Chieh Huang

Chih-Wei Kao

A monitor system includes at least one three-dimensional camera circuit and a controller. Each of the at least one three-dimensional camera circuit is used for capturing a plurality of images including an object, and generating a depth map corresponding to the object according to the plurality of images. The controller is used for determining a plurality of feature points corresponding to the object according to the plurality of images or depth map, determining relative coordinates of the plurality of feature points according to the depth map, generating external information corresponding to the object according to the relative coordinates of the plurality of feature points, and generating monitor information corresponding to the object according to the external information corresponding to the object and reference parameters corresponding to the object.

Monitor system and operation method thereof

An image process apparatus includes an image capture device, a filter, a depth estimation unit, and a mixture unit. The image capture device captures an original image including at least one target object and generates a first depth map corresponding to the original image. The filter selects the at least one target object from the original image according to the first depth map and generates a temporary image including the at least one target object. The temporary image has a depth information of the at least one target object. The depth estimation unit generates a second depth map corresponding to an input image according to the input image. The mixture unit blends the temporary image into a predetermined field depth of the input image to generate a blending image including the input image and the at least one target object according to the depth information and the second depth map.

Image process apparatus and image process method

A calibration method of a stereo camera includes transmitting a group of system parameters of the stereo camera to a server; downloading calibration pattern corresponding to the group of system parameters from the server; calculating a plurality of camera calibration parameters corresponding to the stereo camera according to the calibration pattern; and executing an image rectification operation on a left eye image capture unit and a right eye image capture unit of the stereo camera according to the plurality of camera calibration parameters, respectively.

Image calibration system and calibration method of a stereo camera

A portable three-dimensional scanner includes at least two image sensing units and a depth map generation unit. When the portable three-dimensional scanner is moved around an object, a first image sensing unit and a second image sensing unit of the at least two image sensing units capture a plurality of first images comprising the object and a plurality of second images comprising the object, respectively. When the first image sensing unit captures each first image of the plurality of first images, a corresponding distance exists between the portable three-dimensional scanner and the object. The depth map generation unit generates a corresponding depth map according to the each first image and a corresponding second image. A plurality of depth maps generated by the depth map generation unit, the plurality of first images, and the plurality of second images are used for generating a color three-dimensional scan result corresponding to the object.

Portable three-dimensional scanner and method of generating a three-dimensional scan result corresponding to an object

An attachable three-dimensional scan module includes an attachable unit, at least two image sensing units, a depth map generation unit, and an output interface. The attachable unit fixes the attachable three-dimensional scan module on a mobile device. When the mobile device is moved around an object, a first image sensing unit and a second image sensing unit of the at least two image sensing units capture a plurality of first images including the object and a plurality of second images including the object, respectively. A plurality of depth maps generated by the depth map generation unit, the plurality of first images, and the plurality of second images are used for generating a color three-dimensional scan result corresponding to the object. The output interface outputs the color three-dimensional scan result, or the plurality of first images, the plurality of second images, and the plurality of depth maps.

Attachable three-dimensional scan module

A system for localizing an acoustic source is provided. This system includes a microphone apparatus, an audio processing apparatus, a photographing apparatus, and a decision apparatus. The microphone apparatus receives an acoustic signal and generates at least one received audio signal. The audio processing apparatus generates first location information based on the at least one received audio signal. The decision apparatus generates depth information based on at least one image captured by the photographing apparatus. According to the first location information, the at least one captured image, and the depth information, the decision apparatus determines a location corresponding to the source of the acoustic signal.

Method, computer readable storage medium and system for localizing acoustic source

The invention discloses an image presenting method for generating an image to meet a lenticular sheet of a particular specification. The method includes the following steps: providing a database where at least one lenticular sheet data and at least one alignment pattern data are stored; reading out a lenticular sheet data and an alignment pattern data from the database; processing an image data and the alignment pattern data according to the lenticular sheet data; combining the image data and the alignment pattern data to generate a mixed image which meets the lenticular sheet of the particular specification; and outputting the mixed image.

Image presenting method, image presenting system and apparatus and computer program product

The present invention relates to a color interpolation method for Bayer filter array images. The method first inputs a 3&#xd7;3 Bayer pattern block with a center pixel. Next, a color filter interpolation case is determined according to the type of the center pixel. Next, Bayer pixel averages and Bayer pixel differences in horizontal and vertical directions of the color filter interpolation case are obtained. Next, missing color components of the center pixel are interpolated in both horizontal and vertical directions. Next, color differences in the horizontal and vertical directions are obtained based on the Bayer pixel differences and averages. Next, a pixel activity of the 3&#xd7;3 Bayer pixel block is determined. Finally, interpolated color components in the direction of lower color differences are selected, when the pixel activity is high.

Color interpolation method for Bayer filter array images

A method for motion pixel detection with adaptive thresholds, according to the global motion information among the reference video fields, so as to correctly evaluate whether a missing pixel is in a static region or a non-static region, thereby reconstructing the missing pixel by an inter-field interpolation process or an intra-field interpolation process. If the amount of motion among the reference fields is large, there is high motion information among the reference fields, so the threshold is set to be small; if the amount is small, there is less motion information between the reference fields, and so the threshold should be set to be large.

Method for motion pixel detection with adaptive thresholds

The invention relates to a method for detecting video frame types with median filtering, which proceeds a denoising step after calculating the comb factor of each pixel, to avoid incorrect judgment of the frame type resulting from excessive field difference and improve detection accuracy.

Method for detecting video frame types with median filtering

A method for a 3:2 pull-down film source detection. First, a source is received. Then, field differences of two fields of the same type in the source and an average field difference according to the field difference corresponding to at least one prior field in the source are calculated. The source is established as a 3:2 pull-down film source by checking whether a 3:2 pull-down signature is in the source according to the field difference and the average field difference, and a bad editing point is detected according to an interlaced frame information of the source.

Method for 3:2 pull-down film source detection

A method for scaling a digital picture to generate a scaled picture including following steps:(a) scaling a portion of the digital picture instead of the whole digital picture in a first direction; (b) scaling part of the data produced in step (a) in a second direction; and (c) repeating steps (a) and (b) to form the scaled picture.

Digital picture scaling

A method for motion pixel detection with a static counter map so as to correctly evaluate whether a missing pixel is in a static region or a non-static region, thereby reconstructing the missing pixel by an inter-field interpolation process or an intra-field interpolation process, respectively.

Method for motion pixel detection

A method for detecting dynamic video pixels by using adaptive counter threshold values according to field difference value of the frame in the video, thereby to determine whether the frame is an interlaced frame or a progressive frame and to eliminate incorrect judgements resulting from field difference and to improve accuracy of frame determination.

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Taipei, Taiwan

Wen-Kuo Lin