Baidu Online Network Technology (beijing) Co., Ltd.

Samsung Electronics Co., Ltd.

Beijing Zitiao Network Technology Co., Ltd.

Yongjie Zhang

Yuan Lin

Sili Chen

Hongwu Zhang

Zhongqin Wu

Zhaoliang Liu

Hui Zhang

Fei Duan

Miao Yao

Yingchao Li

Haoxing Wang

Xin Wang

Jaejoon Han

Jungbae Kim

Seon Min Rhee

Lin Wang

Jae-Joon Han

Meng Ye

Jung-Bae Kim

Tao Wu

Gengyu Ma

Xu Chang

Seonmin Rhee

Junliang Shan

Hanzhen Li

Zhou Xue

Embodiments of the present disclosure provide a positioning method and apparatus, a device, and a storage medium, the method is applied to a wearable display device, where the wearable display device includes a display host and a peripheral, the display host and/or the peripheral are used for projecting a structure light image onto an object in a real environment, and the method includes: acquiring an image obtained by the display host shooting the object, and an image obtained by the peripheral shooting the object; and determining, according to image obtained by shooting and the structure light image, a pose of the peripheral relative to the display host.

Positioning method and apparatus, device, and storage medium

A monocular vision tracking method, apparatus, and a non-volatile computer-readable storage medium are provided. The method includes: acquiring a first camera pose by using a wireless tracker; capturing calibration board images by using a camera, and selecting a set of images from the captured calibration board images according to image sharpness and camera pose difference; calculating a second camera pose in the camera calibration algorithm according to the selected set of images; obtaining a conversion parameter between the first camera pose and the second camera pose; and converting a first capturing pose into a second capturing pose by means of the conversion parameter when a scenario is captured, wherein the first capturing pose is acquired by the wireless tracker and the second capturing pose corresponds to a pose of the camera.

Monocular vision tracking method, apparatus and non-transitory computer-readable storage medium

An augmented reality positioning method and apparatus for location-based service LBS, comprising: a first terminal obtains image information captured by a camera, and receives AR information transmitted by a server; the AR information is generated according to location information of a second terminal; the first terminal displays the image information drawn with the AR information. The apparatus avoids the following drawbacks in the prior art: location inaccuracy; when the terminals are close to each other, positioning cannot be performed on the interfaces of the terminals; if the environment is complicated, it is difficult for the user to quickly perform accurate and direct judgment, and even impossible to obtain more accurate mutual suggestive location information. The apparatus enables the user to perform quick positioning judgment making it possible to directly combine more interactable content or presented information with a real scenario using mobile terminals such as mobile phones without extra hardware.

Augmented reality positioning method and apparatus for location-based service LBS

The present application provides a method and an apparatus for three-dimensional object pose estimation, a device and a storage medium. The method includes: calculating a graph of a previous frame and a graph of a current frame for a target three-dimensional object; performing a matching calculation on the graph of the previous frame and the graph of the current frame using a graph matching algorithm to obtain a vertex correspondence relationship between the graph of the previous frame and the graph of the current frame; calculating a pose of the target three-dimensional object in the current frame according to the vertex correspondence relationship, a pose of the target three-dimensional object in the previous frame and a PnP algorithm. The matching accuracy of feature points is effectively improved, and thereby the accuracy of three-dimensional object pose estimation is improved.

Method and apparatus for three-dimensional object pose estimation, device and storage medium

The present disclosure provides a method, an apparatus, a device for evaluating image tracking effectiveness and a readable storage medium. The method includes: extracting feature points from a target image according to a predefined algorithm; determining first texture information for the target image according to the feature points; processing the target image according to a predefined processing policy to derive a contrast image, and determining second texture information for the target image according to the contrast image; and rating the target image according to the first texture information and the second texture information. In the solution provide by the present disclosure, the tracking effectiveness for the target image can be known without having to place the target image into any actual product, nor having to wait until the product has been finalized before the target image tracking effectiveness is determined. Moreover, efficiency can be enhanced when evaluating image tracking effectiveness.

Method, apparatus and device for evaluating image tracking effectiveness and readable storage medium

A monocular vision tracking method, apparatus and a non-volatile computer-readable storage medium are provided. The method includes: acquiring a first camera pose by using a wireless tracker; capturing calibration board images by using a camera, and calculating a second camera pose according to the captured calibration board images; obtaining a conversion parameter between the first camera pose and the second camera pose; and converting a first capturing pose into a second capturing pose by means of the conversion parameter when a scenario is captured, wherein the first capturing pose is acquired by the wireless tracker and the second capturing pose corresponds to a pose of the camera; wherein a relative position between the wireless tracker and the camera remains unchanged, in processes of acquiring the first camera pose, capturing the calibration board images and capturing the scenario.

Monocular vision tracking method, apparatus and non-volatile computer-readable storage medium

A method for determining a pose of a camera is provided, the method includes: S, acquiring an image of a marker; S, estimating a first pose of the camera according to the image of the marker by a characteristic point method; S, estimating a second pose of the camera according to the image of the marker by a direct method; and S, determining the pose of the camera based on the first pose and the second pose.

Method and device for determining pose of camera

An object tracking method, device are provided according to the disclosure. The object tracking method includes: acquiring an object image comprising an object; determining a current image with the object from images captured consecutively, according to the object image; calculating a first pose of the object in the current image using a first algorithm, and calculating a second pose of the object in the current image using a second algorithm, wherein the first algorithm has a faster calculating speed than the second algorithm; determining a pose of the object to be the first pose before a calculation of the second pose is completed; and in a case that the calculation of the second pose is completed, calculating a third pose of the object according to the first pose and the second pose; and determining the pose of the object to be the third pose.

Object tracking method, device, augmented reality system and storage medium

An image recognition method and device are provided according to the disclosure. The method includes: obtaining a target image, and extracting at least one first visual feature of the target image; obtaining at least one pending image according to the first visual feature of the target image, and extracting a plurality of second visual features of the target image and the plurality of second visual features of the pending image; for each pending image, forming a plurality of visual feature pairs; and removing an unavailable visual feature pair from the plurality of visual feature pairs, to obtain at least one remaining feature pair; and determining an image similar to the target image from the at least one pending image, according to the at least one remaining feature pair.

Image recognition method and device

The present disclosure discloses a method and apparatus for presenting information. A specific implementation of the method comprises: receiving target geographic location information and a target environment image sent by a terminal; determining a target three-dimensional environment model associated with the target geographic location information based on the target geographic location information; identifying a target object image in the target environment image and generating a target object identifier; searching first target association information associated with the target object identifier from first association information stored in association with object identifiers based on the target object identifier; generating a to-be-presented three-dimensional environment model based on the first target association information and the target three-dimensional environment model; and sending the to-be-presented three-dimensional environment model to the terminal for the terminal to present the first target association information through an augmented reality based on the to-be-presented three-dimensional environment model.

Method and apparatus for presenting information

A method and apparatus of generating a three-dimensional (3D) image are provided. The method of generating a 3D image involves acquiring a plurality of images of a 3D object with a camera, calculating pose information of the plurality of images based on pose data for each of the plurality of images measured by an inertial measurement unit, and generating a 3D image corresponding to the 3D object based on the pose information.

Three-dimensional image generation method and apparatus

An apparatus and corresponding method are provided to match images and include assigning depth candidate values to a pixel in a first image, and reassigning third depth candidate values to a first pixel in the first image based on first depth candidate values assigned to the first pixel and second depth candidate values assigned to a second pixel adjacent to the first pixel. The apparatus and method also include determining one of the third depth candidate values to be a depth value of the first pixel, and matching the first pixel and a third pixel in a second image corresponding to the determined depth value of the first pixel.

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Beijing, China

Yongjie Zhang