Abstract: The present disclosure illustrates an auto-focus system using multiple lenses and method thereof, the system is characterized in using multiple lenses and combining multiple focus approaches to improve focus speed and precision. In particular, the system moves multiple lenses simultaneously to perform focusing for reducing focus time efficiently.

Abstract: The present disclosure illustrates an auto-focus system using multiple lenses and method thereof. The system is characterized in using multiple lenses and combining a focus depth based approach and a contrast value based approach to improve focus speed and precision. In particular, the system can avoid the impairment caused by the repeat pattern in the focus depth based approach.

Abstract: A method of detecting the subject of an image and imaging device thereof are disclosed. The method comprises the following steps of providing an image capturing module to capture the temporal image, providing the image processing module to receive the temporal image and to determine a plurality of objects from the temporal image, using the image processing module to define a plurality of regions on the temporal image based on the center of temporal image, using the image processing module to assign an initial setup value to each of the objects according to the region corresponding to each of the objects, using the imaging processing module to execute an operation to increase or decrease each of the initial setup values, using the image processing module to execute a sorting, and selecting at least one of the objects as a subject of the temporal image.

Abstract: A face recognition system and a face recognition method thereof. The face recognition system comprises a storage module, a processing module and a display module. The storage module stores a plurality of face recognition codes, a plurality of face images or face coordinates corresponding to the plurality of face recognition codes. The processing module calculates an overlap rate of the (T?1)th face image that overlaps the Tth face image in the plurality of face images. When the overlap rate is greater than a first preset value, the processing module calculates a similarity between the (T?1)th face image and the Tth face image. If the similarity is smaller than a second preset value, the processing module retains the face recognition code of the (T?1)th face image. The display module displays the face recognition code in the Tth face image.

Abstract: An auto focus (AF) method and an AF apparatus are provided. The method includes the following steps. At least one target object is selected and photographed by a first image sensor and a second image sensor to generate a three-dimensional (3D) depth map. A block covering at least one initial focusing point is selected. The 3D depth map is queried for reading depth information of a plurality of pixels in the block. It is determined whether depth information of the pixels is enough to operate. If yes, a first statistics operation is performed, and focusing depth information is obtained. If not, the position of the block is moved or the size of the block is enlarged to obtain the focusing depth information. A focusing position is obtained according to the focusing depth information and the AF apparatus is driven to perform an AF procedure according to the focusing position.

Abstract: A user may submit product title information to a server. The server may generate a phrase based on the product title information. The server may then search a database to find relevancies between the phrase and product categories corresponding to multiple nodes in a product category tree. Based on the relevancies, the server may select a node from the multiple nodes. The server may associate the product title information with the node corresponding to a product category when the node is a leaf node of the product category tree.

Abstract: An auto focus (AF) method adapted to an AF apparatus is provided. The AF method includes following steps. A target object is selected and photographed by a first image sensor and a second image sensor to generate a first image and a second image. A procedure of three-dimensional (3D) depth estimation is performed according to the first image and the second image to generate a 3D depth map. An optimization process is performed on the 3D depth map to generate an optimized 3D depth map. A piece of depth information corresponding to the target object is determined according to the optimized 3D depth map, and a focusing position regarding the target object is obtained according to the pieces of depth information. The AF apparatus is driven to execute an AF procedure according to the focusing position. Additionally, an AF apparatus is provided.

Abstract: A display module support frame for electronic devices includes a first support section, a second support section and a bend section located between the first and second support sections. The bend section includes a coupling zone and a bend buffer zone. The display module support frame has an initial state in which the first and second support sections do not receive forces and the first and second coupling portions of the first and second support sections are positioned at two sides of the coupling zone, and a bend state in which either the first or second support section receives the forces to bend a bridge portion such that the first and second coupling portions are moved towards the coupling zone to couple with each other, and the compression buffer space is shrunk to form a holding space between the first and second support sections to hold a display module.

Abstract: A method of detecting the subject of an image and imaging device thereof are disclosed. The method comprises the following steps of providing an image capturing module to capture the temporal image, providing the image processing module to receive the temporal image and to determine a plurality of objects from the temporal image, using the image processing module to define a plurality of regions on the temporal image based on the center of temporal image, using the image processing module to assign an initial setup value to each of the objects according to the region corresponding to each of the objects, using the imaging processing module to execute an operation to increase or decrease each of the initial setup values, using the image processing module to execute a sorting, and selecting at least one of the objects as a subject of the temporal image.

Abstract: A display module holding frame and method of manufacturing same include the steps of: first, providing a support frame which includes an installation frame to hold a display module, two installation portions to hold two hinge structures, an installation space formed within the installation frame, a coupling space formed between the two installation portions and a wiring passage communicating with the installation space and the coupling space; next, threading a signal wire through the wiring passage; finally, forming a rubber protective layer on the surface of the support frame via an injection process. The rubber protective layer has a holding portion to fix the signal wire in the wiring passage. The display module holding frame thus formed provides a structure to securely hold the signal wire without moving freely.

Abstract: A display module support frame for electronic devices includes a first support section, a second support section and a bend section located between the first and second support sections. The bend section includes a coupling zone and a bend buffer zone. The display module support frame has an initial state in which the first and second support sections do not receive forces and the first and second coupling portions of the first and second support sections are positioned at two sides of the coupling zone, and a bend state in which either the first or second support section receives the forces to bend a bridge portion such that the first and second coupling portions are moved towards the coupling zone to couple with each other, and the compression buffer space is shrunk to form a holding space between the first and second support sections to hold a display module.

Abstract: An image transfer apparatus and a method thereof comprise: capturing at least one first image, wherein the first image includes at least one face image; performing a face detection to obtain at least one face feature; a database has at least one identification information which comprises at least one face photo and a corresponding communication information; comparing the face feature with the face photo saved in the database; retrieving the corresponding communication information and the identification information corresponding to the face photo, if the face feature matches the face photo; performing the face image processing corresponding to the identification information in the first image, so as to obtain at least one second image; transmitting each second image according to the communication information of the processed face image in the second image.

Abstract: An intelligence reminding apparatus and a method thereof. The intelligence reminding method comprises: using an image capturing unit to preview a preview-image or capture a dynamic image; detecting at least one face image of the preview-image or the dynamic image to obtain a face image; recognizing the face image according to a face photo of a database which comprises at least one face photo and at least one corresponding information; acquiring the corresponding information if the face image matches the face photo. Wherein the face recognition is proceeding during the image preview or dynamic image capturing; reminding the corresponding information to users in a display mode, or reminding in a voice mode via a connected earphone or a connected voice apparatus if the connected earphone or the connected voice apparatus is detected.

Abstract: The present invention discloses a license plate image-pickup device and an image exposure adjustment method thereof. The license plate image-pickup device comprises an image-sensing module, a recognition module and a processing module. The license plate image-pickup device takes a scene. The image-sensing module senses the scene to produce an image. The recognition module detects a vehicle object. The processing module adjusts the exposure of the vehicle object to produce an exposure adjusted vehicle object, and then the recognition module detects a license plate object from the exposure adjusted vehicle object, and the processing module adjusts the exposure of the license plate object.

Abstract: An apparatus capable of detecting location of object contained in image data and its detecting method are disclosed. The apparatus comprises an image capturing module, a weight assignment module, and a processing module. The image capturing module is for capturing an image. The weight assignment module performs the pixel weight/probability assignment according to the priori information and the image, and figures out the initial gravity center of the object according to the object location initialization. The processing module performs the statistical analysis according to the result of the pixel weight/probability assignment and the initial gravity center of the object so as to obtain the analysis result and update the object location. The processing module determines whether or not the analysis result meets the preset value, if it does, the processing module outputs an estimated result; if it doesn't, the processing module repeats the foregoing processes.

Abstract: A face recognition system and a face recognition method thereof. The face recognition system comprises a storage module, a processing module and a display module. The storage module stores a plurality of face recognition codes, a plurality of face images or face coordinates corresponding to the plurality of face recognition codes. The processing module calculates an overlap rate of the (T?1)th face image that overlaps the Tth face image in the plurality of face images. When the overlap rate is greater than a first preset value, the processing module calculates a similarity between the (T?1)th face image and the Tth face image. If the similarity is smaller than a second preset value, the processing module retains the face recognition code of the (T?1)th face image. The display module displays the face recognition code in the Tth face image.

Abstract: This invention discloses an image capturing device, an image capturing method, and a human recognition photograph system. The image capturing device comprises: a capturing module sensing an image; a human detecting module detecting the number of at least one person in an image generating detecting signal; a face recognition module generates recognition signal by recognizing a face condition of the at least one person in the image; and a processing module that receives detecting signal and recognition signal and calculates the number of at least one person and face condition value according to the detecting signal and the recognition signal respectively. The processing module determines whether the number of at least one person and face condition value correspond to a predetermined number and a predetermined face condition value respectively; if so, generating an image capturing signal to control the capturing module to capture image and generate image data.

Abstract: A license plate image-pickup device and an image white balance adjustment method thereof applicable to vehicles. The license plate image-pickup device comprises an image-sensing module, a recognition module, a data base and a processing module. The image-sensing module senses a scene to produce an image. The recognition module recognizes an object contained in the image and a license plate color feature contained in the object to produce recognition parameter set. The database saves parameter sets of reference objects and reference license plate color features respectively corresponding to the reference objects. The processing module searches the reference objects in the database according to the recognition parameter set, to obtain a corresponding reference license plate color feature, and adjusting the white balance of the image according to the corresponding reference license plate color feature.

Abstract: An object tracking method includes steps of obtaining multiple first classifications of pixels within a first focus frame in a first frame picture, wherein the first focus frame includes an object to be tracked and has a first rectangular frame in a second frame picture; performing a positioning process to obtain a second rectangular frame; and obtaining color features of pixels around the second rectangular frame sequentially and establishing multiple second classifications according to the color feature. The established second classifications are compared with the first classifications sequentially to obtain an approximation value, compared with a predetermined threshold. The second rectangular frame is progressively adjusted, so as to establish a second focus frame. By analyzing color features of the pixels of the object and with a classification manner, the efficacy of detecting a shape and size of the object so as to update information of the focus frame is achieved.

Abstract: A device and a method for predicting photograph timing. First, a detection step is performed. Then, a face determination step is performed to determine whether or not a face is shown. A face-classifying step is then performed. If a detected image is a non-front face, a difference generation step is then performed. A difference determination step is performed when a plurality of differences are obtained to determine whether or not the sequentially adjoined differences are reduced, wherein if the sequentially adjoined differences are reduced, a photographing timing is predicted according to a reduction degree of the differences. As a result, the probability of successfully photographing the front face can be enhanced. In addition, a training database that has both front face information and non-front face information can be utilized. As a result, it is not easy to determine the non-front face as the front face incorrectly.