Altek Corporation

Altek Semiconductor Corp.

Industrial Technology Research Institute

Altek Semiconductors Corporation

Hong-Long Chou

Wen-Yan Chang

Che-Lun Chuang

Chia-Chun Tseng

Tai-Chang Yang

Yu-Chih Wang

Chen-Hung Chan

Yin-Pin Chang

Shih-Yuan Peng

Chung-Ta Wu

Yi-Hong Tseng

Tsan-Wei Wang

Ming-Jiun Liaw

Chia-Yu Wu

Hsin-Te Wang

Shan-Lung Chao

Chia-Chen Chen

Yao-Sheng Wang

Chih-Yuan Yang

Shuei-Lin Chen

Yu-Chen Huang

Wen-Chao Chen

Chia-Chun Hsieh

Ching-Lung Tsai

Kai-Yu Tseng

De-Jin Shau

Simon Mong-Lun Law

Yi-Yi Yu

Chan-Min Chou

Tzung-Han Lin

Yen-Ping Teng

Cheng-Yuan Tang

Horng-Horng Lin

Shou-Te Wei

Fu-Jen Hsiao

Zen Chen

Su Ian Alias Eugene Lei

Yuan-Lin Liao

Chao-Wen Lin

Yen-Chi Wang

Huei-Shan Lin

I-Te Yu

An image detection device and an image detection method are provided. The image detection method includes: obtaining an image, where the image includes an object; adjusting a first size of the image to generate an adjusted image; generating a first divided image and a second divided image according to the image; and detecting the object in the image based on a plurality of input images, where the plurality of input images includes the first divided image, the second divided image, and the adjusted image.

Image detection device and image detection method

An image generating method and an electronic apparatus are provided. The method includes: determining whether at least one object in a plurality of first images to be captured will generate a blur to generate a determination result; determining a first amount of at least one second image in the plurality of first images and a second amount of at least one third image in the plurality of first images according to the determination result, wherein a first setting for capturing the second image is different from a second setting for capturing the third image; capturing the second image according to the first setting; capturing the third image according to the second setting; using the first amount of the second image and the second amount of the third image to perform an image superposition operation to generate an output image; and outputting the output image.

Image generating method and electronic apparatus

A multi-camera electronic device and a control method thereof are proposed. The method includes the following steps. At least one camera of the electronic device is used for scene detection to generate photographing analysis information. All the photographing analysis information is collected, and joint photographing information including a joint target is generated through a communication process among all the cameras. An individual photographing parameter of each camera is generated according to the joint photographing information. Each camera is controlled to capture an image of the scene by using its individual photographing parameter to respectively generate a corresponding output image.

Multi-camera electronic device and control method thereof

A stereo image generating method and an electronic apparatus utilizing the method are provided. The electronic apparatus includes a first camera and a second camera capable of capturing stereo images, and a resolution of the first camera is larger than that of the second camera. In the method, a first image is captured by the first camera, and a second image is captured by the second camera. The second image is upscaled to the resolution of the first camera, and a depth map is generated with use of the first image and the upscaled second image. With reference to the depth map, the first image is re-projected to reconstruct a reference image of the second image. An occlusion region in the reference image is detected and compensated by using the upscaled second image. A stereo image including the first image and the compensated reference image is generated.

Stereo image generating method and electronic apparatus utilizing the method

An electronic apparatus and a method of generating a depth map are provided. The electronic apparatus includes a projection device, a first camera, a second camera, and a processing device. The projection device projects patterned invisible light on a scene. The first camera captures visible light information to generate a first image. The second camera captures visible light information and invisible light information to generate a second image. The processing device receives the first image and the second image. A first depth information unit in the processing device compares visible light images of the first image and the second image to obtain first depth information, and a second depth information unit in the processing device identifies an invisible light image in the second image to obtain second depth information. The processing device generates a depth map of the scene from the first depth information and the second depth information selectively.

Electronic apparatus and method of generating depth map

An image pick-up apparatus and a progressive auto-focus method thereof are provided. The image pick-up apparatus includes an optical system, an image sensor, a focus circuit and a lens control circuit. In the method, an image is captured by using the image sensor and whether the optical system is in focus when the image sensor captures the image is determined by the focus circuit. If the optical system is out of focus, an in-focus location of the optical system and an in-focus distance for moving the optical system to the in-focus location are calculated by the focus circuit. The in-focus distance is transformed into a shorter progressive distance and the optical system is controlled by the lens control circuit to move by the progressive distance. Aforesaid steps are repeated until the optical system is in focus and the image captured by the image sensor is output.

Image pick-up apparatus and progressive auto-focus method thereof

An image capturing device and a method for calibrating image deformation thereof are provided. The image capturing device has a first image sensor and a second image sensor and the method includes following steps. A plurality of image groups are captured through the first image sensor and the second image sensor. Each of the image groups includes a first image and a second image, and the image groups include a reference image group. Whether an image deformation occurs on a first reference image and a second reference image in the reference image group is detected. If it is detected that the image deformation occurs on the reference image group, a current calibration parameter is updated according to a plurality of feature point comparison values corresponding to the image groups. The current calibration parameter is used for performing an image rectification on each of the first images and the second images.

Image capturing device and method for calibrating image deformation thereof

A lens module array for being assembled to a portable device is provided. The lens module array includes a wide-angle mono lens module, a narrow-angle mono lens module, and two color lens modules. While the wide-angle mono lens module, the narrow-angle mono lens module, and the two color lens modules are assembled onto the portable device, the wide-angle mono lens module, the narrow-angle mono lens module, and the two color lens modules are located at four vertices of a quadrangle, respectively. Besides, the two color lens modules are located at two opposite vertices.

Lens module array, image sensing device and fusing method for digital zoomed images

A method for calibrating image defection of an image capturing device having a first and second lens, a focusing actuator, and a prestored first focusing step-to-focusing distance relation includes the following steps. A plurality of image sets are captured by the first and second lens, where each of the image sets includes a first and second image, and the images sets include a reference image set. It is detected whether the reference image set is defective. When the reference image set is detected to be defective, the first focusing step-to-focusing distance relation is calibrated according to a focusing step and a focusing distance corresponding to each of the image sets, where the focusing step corresponding to each of the image sets is the number of steps that the focusing actuator is required to move the first and second lens to a focusing position to generate each of the image sets.

Image capturing device and method for calibrating image defection thereof

An image capturing device and a method for detecting image deformation thereof are provided. The method is for the image capturing device having a first sensor and a second image sensor, and the method includes the following steps. A first image is captured through the first image sensor, and a second image is captured through the second image sensor. A deform detection is performed according to the first and second images so as to obtain a comparison information between the first and second images. Whether a coordinate parameter relationship between the first and second images being varied is determined according to the comparison information, in which the coordinate parameter relationship is associated with a spatial configuration relationship between the first and second image sensors.

Image capturing device and method for detecting image deformation thereof

A method for calibrating image deformation of an image capturing device having a first and second lens, a focusing actuator, and a prestored first focusing step-to-focusing distance relation includes the following steps. A plurality of image sets are captured by the first and second lens, where each of the image sets includes a first and second image, and the images sets include a reference image set. It is detected whether the reference image set is deformed. When the reference image set is detected to be deformed, the first focusing step-to-focusing distance relation is calibrated according to a focusing step and a focusing distance corresponding to each of the image sets, where the focusing step corresponding to each of the image sets is the number of steps that the focusing actuator is required to move the first and second lens to a focusing position to generate each of the image sets.

An image capture device, a depth generating device and a method thereof are disclosed. The present disclosure is characterized in that a depth calculation technology with a structure light projection and a pictorial depth calculation technology are combined to better both of resolution and accuracy of the calculated image depth. In addition, the utilization of a modified flashlight enables the combination of the two technologies to be applied to a hand-held capture device.

Image capture device, depth generating device and method thereof

An image capturing device and a hybrid image processing method thereof are provided. The method is adapted to an image capturing device having a first lens and a second lens and includes the following steps. First, a scene is captured by the first lens and the second lens to respectively generate a mono image and a color image of the scene. Next, one of a mono image-based mode, a color image-based mode, and a color image-only mode is dynamically selected, and an output image is generated accordingly, wherein the mono image-based mode is to produce the output image by adding color image data onto the mono image, the color image-based mode is to produce the output image by adding mono image data onto the color image, and the color image-only mode is to produce the output image by only using the color image.

Image capturing device and hybrid image processing method thereof

An image processing system and a method for object-tracing are provided. The method includes: receiving a first wide field of view image and a first narrow field of view image, and determining a to-be-traced object therefrom and choosing one image therefrom for serving as a first output image; using an area size of the to-be-traced object in the first output image as a reference area; comparing the reference area with the area sizes of the to-be-traced object from a second wide field of view image and a second narrow field of view image respectively so as to determine one of that as a main image, and respectively zooming and deforming the main image and an area corresponding to the other image, and then fusing a zoomed and deformed second image as a second output image.

Image processing system and method for object-tracing

The present invention discloses a method of capturing images and an image capturing device using the method. The image capturing device has a first lens module and a second lens module having a view angle which is smaller than that of the first lens module. The method comprises: increasing an exposure time and reducing a light sensitivity value of the first lens module and capturing a first image by using the first lens module; reducing the exposure time and increasing the light sensitivity value of the first lens module and capturing a second image by using the second lens module; extracting a plurality of image features from the first image and the second image respectively and determining a region corresponding to the second image in the first image; and merging the second image into the region in the first image to generate an output image.

Method of capturing images and image capturing device using the method

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Taipei, Taiwan

Hong-Long Chou