Qisda Corporation

Lite-on It Corporation

Benq Co., Ltd.

Tsung-Hsi Lee

Chuang-Wei Wu

Chi-Cheng Lin

Wen-Jun Zeng

Min-Hsiung Huang

Ming-Che Tan

Hung-Chih Chan

Chung-Ning Huang

Shin-Hui Huang

Chen-Cheng Chiang

An intraoral scanner includes an image capturing device and a processor. A method of operating the intraoral scanner includes the image capturing device sequentially capturing M images of a buccal bite, the processor generating M sets of buccal bite point clouds according to the M images, the processor matching the M sets of buccal bite point clouds to generate a bite model, when the number of data points of the bite model exceeds a first threshold, the processor computing P sets of bite feature descriptors of the bite model, when a predetermined quantity of bite feature descriptors in a set of bite feature descriptors of the P sets of bite feature descriptors exceeds a second threshold, the processor performing a registration on an upper arch model and a lower arch model to the buccal bite mode to generate a full mouth model.

Method of operating intraoral scanner for fast and accurate full mouth reconstruction

A method operating an intraoral scanner including a projection device of the intraoral scanner projecting a predetermined pattern, an image capture device of the intraoral scanner capturing K images of the predetermined pattern projected on an object under test, a controller of the intraoral scanner generating (K&#x2212;1) overall brightness change indications according to (K&#x2212;1) sets of two consecutive images of the K images, and if the (K&#x2212;1) overall brightness change indications are all less than a predetermined threshold, the controller turning off the intraoral scanner. K is a positive integer greater than 1.

Method of operating intraoral scanner

A scanning system includes a scanner and a host device. The host device is operated to select a scanning region. An object exists in the scanning region. The host device provides a predicted model corresponding to the object. The predicted model has at least one first characteristic parameter. The scanner scans the object and transmits a plurality of scanned images to the host device. The host device integrates the scanned images into a temporary image. The temporary image has at least one second characteristic parameter. The host device determines whether the second characteristic parameter matches with the first characteristic parameter. When the host device determines that the second characteristic parameter matches with the first characteristic parameter, the host device retains the temporary image. When the host device determines that the second characteristic parameter does not match with the first characteristic parameter, the host device abandons the temporary image.

Scanning system and scanning method

An imaging system includes an image sensing unit and a processing unit. The image sensing unit captures a plurality of images of an object, wherein each of the images includes a plurality of pixels. The processing unit obtains a plurality of sets of image data according to the images, wherein each set of image data includes a plurality of characteristic values. The processing unit calculates a plurality of difference parameters of the characteristic values of every two sets of image data. The processing unit accumulates the difference parameters within a predetermined time period to obtain a plurality of accumulated difference parameters corresponding to the pixels. The processing unit determines a plurality of weighting values corresponding to the pixels according to the accumulated difference parameters. The processing unit performs an image processing process according to the sets of image data and the weighting values.

Imaging system and imaging method

An intraoral scanner includes an image sensor, a projection module, a motion sensor, a memory unit and a processor. The motion sensor senses three motion variations corresponding to three axes according to a motion state of the intraoral scanner. The memory unit stores three first variation thresholds corresponding to the three axes. The processor determines whether the three motion variations are smaller than or equal to the three first variation thresholds, respectively. When the processor determines that at least one of the three motion variations is smaller than or equal to the three first variation thresholds, the processor enables the image sensor and the projection module. When the processor determines that all of the three motion variations are larger than the three first variation thresholds, the processor disables at least one of the image sensor and the projection module.

Intraoral scanner, intraoral scanning system and method of controlling intraoral scanner

After capturing a barcode image, generate at least one sample line accordingly, acquire sample data of the at least one sample line, generate a first and a second reference lines, generate an upper bound and a lower bound according to the first and the second reference lines, generate a first curve by interpolating all sample points, generate a plurality of effective sample shapes of the first curve according to the upper bound and the lower bound, identify an internal point of each effective sample shape, generate a second curve by interpolating all internal points, and digitize the barcode image to binary data by comparing sample data with the second curve.

Method for digitizing barcode image by using dynamic threshold

A method for managing a non-volatile memory is provided. The non-volatile memory has a number of blocks, and each block has a number of sub-blocks. The method includes a number of steps. First, a last physical address is obtained. The last physical address corresponds to a sub-block which is close to another sub-block where data is newly stored. Next, it is determined, for each sub-block of at least one block, the validity of data being stored. The at least one block is at least one neighboring block of a block containing the corresponding sub-block of the last physical address. Then, a mapping table is produced according to the step of determining the validity of data.

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Tainan, Taiwan

Tsung-Hsi Lee