52 results about "Texture reconstruction" patented technology

The invention provides a human body real-time modeling system and a modeling method thereof adopting a dual kinect and a rotating platform, comprising a geometric reconstruction module; a camera calibration module; a texture mapping module, etc. Through human body scanning, filtering and denoising, camera tracking and calibration, point cloud fusion and texture mapping, the final three-dimensionalhuman body model is obtained. The invention has the following advantages: the traditional ICP algorithm is improved, the speed of three-dimensional model reconstruction is accelerated, and the requirement of computer configuration is lowered; the real-timeness of human body reconstruction system is kept, the human body model is reconstructed in a short time, the requirement for stationary remaining for a long time on people is loweed, and no special clothes or props are needed; a cheap, fully automatic human body reconstruction system is built and developed, breaking through the traditionalhuman body reconstruction program funding, accuracy constraints; On the basis of geometric reconstruction, the high-quality texture is reconstructed by using the high-fidelity color image provided byKinect.

A method for texture reconstruction associated with a three-dimensional scan of an object includes scanning, at a processor, a sequence of image frames captured by an image capture device at different three-dimensional viewpoints. The method also includes generating a composite confidence map based on the sequence of image frames. The composite confidence map includes pixel values for scanned pixels in the sequence of image frames. The method further includes identifying one or more holes of a three-dimensional model based on the composite confidence map.

The invention discloses a texture fusion method for RGB-D camera real-time three-dimensional reconstruction. The method includes: processing the RGB-D data stream to obtain the definition of a color image, selecting a key frame to extract a foreground, performing filtering and denoising on a depth image, calculating a normal vector of a depth image point cloud, and establishing a reconstructed data stream; quantitatively establishing an adaptive weight field of the color image in a mode of combining a probability method and a heuristic method, and taking the adaptive weight field as confidencecoefficient distribution of a real-time frame for describing color data; and by comparing the confidence coefficient weight in the adaptive weight field of the real-time frame with the latest confidence coefficient weight of the reference point cloud, selecting an operation from three operations of replacement, fusion and reservation to update a texture result, thereby realizing texture fusion applied to three-dimensional reconstruction. According to the method, high-quality data can be extracted, blurring of texture fusion can be effectively reduced, a clear texture reconstruction result isrealized, and the method is embedded into an RGB-D reconstruction framework with relatively low calculation cost, so that the texture reconstruction precision is remarkably improved.

The invention discloses a cuboid automatic detection and three-dimensional reconstruction system and method. The system comprises a driving displacement module, a laser scanning module, a texture acquisition module, and a central processing module. The driving displacement module comprises a multi-axis stepping motor driver, an X-axis translation table, a Y-axis translation table, a Z-axis translation table, a rotation table, and an objective table. The laser scanning module is disposed over the objective table and is used for acquiring the laser point cloud of the surface of a to-be-tested cuboid. The texture acquisition module is disposed on the Z-axis translation table and is used for acquiring the texture image of the surface of the to-be-tested cuboid. The central processing module is connected with the multi-axis stepping motor driver, the laser scanning module, and the texture acquisition module. The cuboid automatic detection and three-dimensional reconstruction system and method achieves automation in laser point cloud acquisition analsysis, image capturing and processing, and three-dimensional model reconstruction, may rapidly achieve the automatic detection and three-dimensional texture reconstruction of the cuboid, and solves low efficiency and large work intensity in the prior art.

The invention provides a super-resolution three-dimensional texture reconstruction method and device and equipment thereof. The method is applied to establish a super-resolution realistic texture model of a target to-be-measured object conforming to a preset measurement volume. The method comprises: acquiring depth data and a texture image of a target to-be-measured object, wherein the depth data are phase parameters of the target to-be-measured object at least comprising five visual angles; generating a three-dimensional model of the to-be-measured object according to the depth data; constructing a mapping energy equation according to the depth data, the texture image and the three-dimensional model; generating super-resolution texture image mapping with optimal energy according to the mapping energy equation; and generating the super-resolution realistic texture model according to the super-resolution texture image mapping. Sampling processing of texture three-dimensional mapping on images is avoided, and the texture resolution of a reconstructed three-dimensional model is effectively improved; and the resolution improvement effect is obvious.

A method is provided, including the following method operations: using a robot having a plurality of sensors to acquire sensor data about a local environment; processing the sensor data to generate a spatial model of the local environment, the spatial model defining virtual surfaces that correspond to real surfaces in the local environment; further processing the sensor data to generate texture information that is associated to the virtual surfaces defined by the spatial model; tracking a location and orientation of a head-mounted display (HMD) in the local environment; using the spatial model, the texture information, and the tracked location and orientation of the HMD to render a view of a virtual space that corresponds to the local environment; presenting the view of the virtual environment through the HMD.