Altek Semiconductor Corp.

Yu-Chih Wang

Hong-Long Chou

Wen-Yan Chang

Ming-Jiun Liaw

Che-Lun Chuang

Shou-Te Wei

Yao-Sheng Wang

Yi-Hong Tseng

Tsan-Wei Wang

Ching-Lung Tsai

Yi-Yi Yu

Simon Mong-Lun Law

Chan-Min Chou

Chia-Chun Tseng

Yu-Wei Huang

Tai-Chang Yang

Kai-Yu Tseng

Chi-Ying Huang

Yuan-Lin Liao

I-Te Yu

Fu-Kui Yang

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 capturing apparatus and a photo composition method thereof are proposed. The method is adapted to an image capturing apparatus having a first lens and a depth sensor and includes the following steps. First, a preview frame of a scene is obtained by using the first lens, and depth information of the scene is obtained by using the depth sensor. Next, scene analysis is performed on the preview frame according to the depth information so as to generate a scene analysis result. Next, whether the preview frame satisfies a photo composition requirement is determined according to the scene analysis result and a corresponding photo composition rule. If yes, the first lens is controlled to capture the preview frame; if no, a photo composition suggestion corresponding to the scene is provided according to the photo composition rule corresponding to the scene analysis result.

Image capturing apparatus and photo composition method thereof

The disclosure provides a method and a system for multi-lens module alignment, adapted to perform alignment on a multi-lens module having at least a first lens and a second lens during its manufacturing stage, where the method includes the following steps. A calibration object is first captured by using the first lens and the second lens to accordingly generate intrinsic parameters and external parameters of the first lens and the second lens, where the external parameters of the first lens and the second lens are associated with a common reference coordinate system. A target object is next captured by using the first lens and the second lens, and captured images of the target object are processed by using the intrinsic parameters and the external parameters to generate rectified images. The first lens and the second lens are adjusted and aligned according to the rectified images.

Method and system for multi-lens module alignment

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 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 digital zooming method thereof are proposed in the invention. The method includes the following steps. A scene is captured by a primary lens and a secondary lens to generate a primary image and a secondary image. Image rectification is then performed on the primary and the secondary images to obtain two corresponding rectified images. Feature points detected and matched from the two rectified images are used to determine a corresponding overlapping region, respectively. Pixel displacement and depth map in the two overlapping regions could be calculated and estimated. Image zooming and warping techniques are performed on the two rectified images to obtain corresponding warped images using a recalculated homography matrix according to each specific zooming factor. Finally, the two overlapping regions in the warped image are fused by a weighted blending approach to generate a digital zoomed image.

Image capturing device and digital zooming method thereof

An image capturing device and a digital zoom display method are provided. The device includes two lens modules configured to respectively capture a first image and a second image, and their capturing view fields are substantially identical, a preview processing unit configured to generate a third image by down-sampling the first image according to a display unit's resolution, a feature extraction unit, an image zooming and distortion unit and an image fusing unit. The second image is trimmed for generating a fourth image according to the same size of the third image. A pixel offset feature corresponding with the third and fourth images is generated by the feature extraction unit. The image zooming and distortion unit generates a fifth image and a sixth image according to the pixel offset feature and zoom ratio to the image fusing unit to generate a combined image displayed on the display unit.

Image capturing device and digital zoom display method

The present disclosure illustrates a lens distortion correction method to solve influence for distortion correction caused by an alignment error between a lens center and a center of image sensor unit during assembling. The present disclosure is characterized in that the spatial geometric calibration is incorporated with the lens distortion correction and different image centers are selected repeatedly when transformation relationship of image coordinates is used to perform the lens distortion correction, so as to correct the image center of the image to be corrected and enhance the accuracy of lens distortion correction.

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Tainan, Taiwan

Yu-Chih Wang