40results about How to "No need to measure target size" patented technology

The embodiment of the invention provides an image matching method in a three-dimensional model construction process. The method comprises the steps of 1, determining a to-be-matched source image n; step 2, screening images n-1... N-m and n + 1... N + m adjacent to the source image n; 3, performing matching calculation on the screened 2m + 1 images; and step 4, repeating the steps 2-3 on the rest to-be-matched source images, and finally completing matching of all the images. For the first time, aiming at a scheme of surrounding collection of a target object with a limited volume, a mode of screening adjacent pictures is proposed to reduce the calculation difficulty and time of a matching algorithm, and the synthesis speed and precision are considered.

The present invention provides a short-distance target object 3D acquisition device, an acquisition area moving device, which is used to drive the acquisition area of ​​the image acquisition device to generate relative motion with the target object; the image acquisition device is used to acquire a set of target objects through the relative movement Image; the collection position of the image collection device meets the preset conditions. For the first time, a 3D acquisition and synthesis method for tiny objects is proposed. By setting the background plate to rotate together, it is guaranteed that the synthesis speed and synthesis accuracy can be improved at the same time.

The invention provides a three-dimensional model generation method comprising: the first step: using 3D information collection equipment to collect multiple groups of images of the target object; the second step: performing image enhancement processing on all input photos; the third step: performing image enhancement processing on all input photos Extract feature points from the image, and perform feature point matching to obtain sparse feature points; the fourth step: input the matched feature point coordinates, solve the sparse 3D point cloud of the face and the position and attitude data of the image acquisition device, and obtain Sparse target model 3D point cloud and model coordinate value of position; use sparse feature points as the initial value, perform dense matching of multi-view images, and obtain dense point cloud data; Step 5: use dense point cloud to reconstruct the target surface; Step 6: Carry out texture mapping on the target model. For the first time, it is proposed to increase the synthesis speed and synthesis accuracy by adding the way that the background plate rotates with the camera to cooperate with the optimized algorithm.

The present invention provides a calibration method in 3D modeling, (1) collect the image of object A; (2) move and / or rotate the collection device until object B enters the collection range, during the movement and / or rotation process of the collection device (3) Collect images of object B; where object A and object B are not in the field of view of the acquisition device at the same time; object A is the calibration object, and object B is the target object; or object A is the target object , the object B is the calibration object; there are multiple calibration points on the calibration object; the coordinates of the target object are calibrated according to the coordinates of the multiple calibration points. Absolute size calibration of long-distance target objects is achieved by continuous shooting during movement or rotation.

The invention provides an intelligent device with a three-dimensional identity mark and a method. The three-dimensional identity mark is located on the intelligent device; the three-dimensional identity mark is obtained from the three-dimensional shape information of a biological body; the intelligent device and the biological body are related. For the first time, it is proposed to use the unique 3D model of the host as the identity association of the smart device, which improves the uniqueness, security and directness of the identity.

The embodiment of the present invention provides a three-dimensional model size calibration device and method: a plurality of marker points are set on the target object or around the target object; an image acquisition device, the acquisition area of ​​which moves with the target object to acquire multiple images of the target object , at least a part of the plurality of images includes landmarks; the processor synthesizes a 3D model of the target object according to at least a part of the plurality of images, and recognizes the landmarks in the at least a part of the images, and according to the landmarks The coordinates or dimensions of the points are used to obtain the coordinates or dimensions of the 3D model of the target. The calibration efficiency is improved by optimizing the shape of the calibration mark.

The embodiment of the present invention provides a collection device and method in 3D modeling, (1) using the collection device to collect multiple images of the target object; (2) the calibration device to obtain the position and location of the collection device when the collection device collects each image Attitude information; (3) The processor synthesizes the 3D model of the target object according to the above-mentioned multiple images, and at the same time obtains the 3D coordinates corresponding to the image points with the same name according to the position and posture information of the acquisition device, thereby obtaining a 3D model point cloud with accurate 3D coordinates. The absolute size calibration of the target object is realized through the method of obtaining the camera position and attitude, and the calculation method of the image point of the same name is adopted, so there is no need to place the calibration object on the target object in advance, or project the calibration point.

The invention provides a multi-region three-dimensional model generation method and device. The method comprises the following steps: acquiring multiple groups of images A of a first region of a target object by using an image acquisition device; acquiring a plurality of groups of images B of a second region of the target object; acquiring a plurality of groups of images C of a third region of thetarget object by using the image acquisition device; wherein the third region is a region where the first region and the second region of the target object are connected; wherein the multiple groupsof images A, the multiple groups of images B and the multiple groups of images C can be used for synthesizing a target object 3D model. It is proposed for the first time that complete information of atarget object is collected in a transition collection mode, so that real 3D model construction is achieved, and three-dimensional information of the real volume range of the target object is obtainedinstead of only three-dimensional information of the surface of the target object. And more information (such as thickness) of the target object can be measured.

The present invention provides a kind of tiny object acquisition equipment, comprising image acquisition device, micro-motion device, stage; wherein micro-motion device comprises turntable and oscillating disk, and spacer is arranged between turntable and oscillating disk, and spacer follows turntable Rotate, so as to drive the oscillating plate to oscillate near the reference plane; the image acquisition device is arranged on the oscillating plate. For the first time, a structure suitable for collecting around tiny objects is proposed, which avoids the problem of rotating out of the field of view.

An embodiment of the present invention provides a method for image matching in the process of building a three-dimensional model, including: step 1: determining the source image n to be matched; step 2: screening images n-1...n-m adjacent to the source image n and n+1...n+m; Step 3: Perform matching calculation on the selected 2m+1 images; Step 4: Repeat the above steps 2-3 for the remaining source images to be matched, and finally complete the matching of all images. For the first time, it is the first time for the surrounding acquisition scheme of the limited target object, and proposes to reduce the calculation difficulty and time of the matching algorithm by screening adjacent pictures, taking into account the synthesis speed and accuracy.

Embodiments of the present invention provide a calibration device and method in 3D modeling, (1) using a calibration device to project multiple light beams to a target, and forming multiple light spots on the surface of the target, which are calibration points; (2) Utilize the distance measurement module and the angle measurement module in the calibration device to measure the distance and angle of the calibration points respectively; (3) take the calibration device as the origin, calculate the coordinates of each calibration point according to the above-mentioned distance measurement value and angle measurement value; (4) Thereby determining the coordinates of the 3D model of the target object. The absolute size calibration of the target object is realized by performing laser ranging and angle measurement on multiple points.

The invention provides an image acquisition device for 3D information acquisition and a selection method thereof. The image acquisition device is applied to 3D information acquisition equipment; the 3D information acquisition equipment includes: an acquisition area moving device, which is used to drive the acquisition of the image acquisition device The area and the target object generate relative motion; the image acquisition device is used to collect a group of images of the target object through the above-mentioned relative motion; the image acquisition device satisfies preset conditions. For the first time, it is proposed to improve both synthesis speed and synthesis accuracy by selecting a suitable camera. When choosing a camera, there is no need to measure the angle, no need to measure the target size, and the applicability is stronger.

The invention provides a method for texture mapping in the process of building a three-dimensional model. By obtaining the original image and its coordinates corresponding to the triangular surface grid data; the visibility analysis of the triangular surface of the reconstructed model; Optimizing the reference image and the neighborhood topological relationship of the triangular faces, clustering the triangular faces into several reference texture patches; automatically sorting the texture patches to generate texture images; taking the histogram of the texture patch of a triangular face as a benchmark, comparing For the texture patch adjacent to the triangular surface, perform histogram matching, and change the pixel gray value of the texture patch of the adjacent triangular surface; perform step 5 on the texture patch of all triangular surfaces and the texture patch of its adjacent triangular surface; Weighted fusion of pixels to generate the entire texture image. For the first time, it is proposed to improve the texture accuracy and reduce the calculation time through the histogram matching method for the surrounding acquisition scheme of the target with limited volume.

The present invention provides a 3D intelligent vision device, comprising a rotating device for driving the acquisition area of ​​the image acquisition device to generate relative motion with the target object; the image acquisition device is used for collecting a group of images of the target object through the above-mentioned relative motion; The optical axis of the collection device and the rotation plane of the rotation device have an included angle γ. For the first time, it is proposed to collect the target image by rotating the camera optical axis and the turntable at a certain angle rather than parallel, so as to realize 3D synthesis and modeling without rotating around the target, which improves the adaptability of the scene.

The invention provides foot intelligent 3D information acquisition and measurement equipment which comprises an image acquisition device and a background plate, and is characterized in that the imageacquisition device and the background plate are oppositely arranged and synchronously rotate; the background plate and the image acquisition device are kept oppositely arranged in the rotating process, so that the background plate becomes a background pattern of an image acquired by the image acquisition device during acquisition; and the image acquisition device and the background plate rotate around feet. The mode that the background plate rotates along with a camera is added for the first time to improve the synthesis speed and the synthesis precision of a foot 3D model at the same time. Byoptimizing the size of the background plate, while the rotating burden is reduced, it is guaranteed that the foot 3D synthesis speed and the foot 3D synthesis precision can be improved at the same time.

The present invention provides a mobile terminal with a lifting and rotating 3D acquisition device, including a lifting device, a rotating device, and an image acquisition device; wherein the lifting device, the rotating device, and the image acquisition device are connected in sequence; in the non-use state, the lifting device, Both the rotating device and the image acquisition device can be partly or completely accommodated in the mobile terminal housing; in the state of use, the light entrance of the image acquisition device is exposed outside the mobile terminal housing. The image acquisition device is connected with the mobile terminal for data. It is the first time to propose a device structure that can apply the principle of image stitching for 3D acquisition in a mobile terminal. For the first time, it is proposed to use the method of rotating the camera on the horizontal plane to scan the target in the mobile terminal to achieve 3D synthesis, avoiding the excessive volume caused by the use of too many tracks, and avoiding the difficulty of synthesis caused by free movement.

The embodiment of the present invention provides an iris 3D information collection and measurement device, including an image collection device, a rotation device, an X orbit, and a Y orbit; The device is located behind the image acquisition device, facing away from the direction of the iris; the X track and the Y track are used to carry the image capture device, and enable the image capture device to slide on them simultaneously, and the compound motion trajectory is a curve. For the first time, it is proposed that through the cooperation of the rotating shaft and the two-dimensional guide rail, the concave motion trajectory of the camera suitable for iris collection can be realized without increasing the volume of the device.

The embodiment of the present invention provides a 3D modeling device and method with coordinate information, (1) using the acquisition device to collect multiple images of the target object; (2) determining multiple specific points from the above multiple images; (3) Find the corresponding point on the target according to the specific point in the image as a calibration point; measure the coordinates of the calibration point on the target; (4) use the coordinates of the above multiple images and calibration points to construct a three-dimensional model with coordinate information. The absolute size calibration of the target object is realized by performing laser ranging and angle measurement on multiple points.