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Texture reconstruction is the last step of 3D reconstruction pipelines that makes 3D geometry models very impressive and beautiful. Once the 3D model is created through structure-from-motion, multi-view stereo and mesh reconstruction, real image based texture is mapped to the models. But it is not easy to generate high quality texture. There are many difficulties cause problems: the large number of...
3D reconstruction of human faces is of high importance in applications like forensics, facial features based human tracking and realistic reconstruction of human faces in virtual reality applications. The published algorithms so far require either a large number of views of a human face or a 3D facial reference model. This paper proposes a technique for 3D human face reconstruction using only five...
In recent years, there have been more and more research and applications on three-dimensional model reconstruction. With the help of Kinect, a somatosensory device invented by Microsoft, we realized three-dimensional model reconstruction process. Firstly, this paper introduced the acquisition mechanism of color and depth images. Because the color camera and the depth camera are not coincident, precise...
In this paper, we present an effective method to reconstruct a dense 3D model of an object or a scene by combining high resolution color and depth images. Conventionally, multiple views of color images can be used for reconstructing a 3D model of the captured scene. Although the conventional method can give the accuracy of the textured-regions of an object, it lacks density and leaves many holes in...
In order to construct the high-precision and high-fidelity 3D plants model quickly and economically, this study present a new approach to combing the color structured light with silhouette-based method to repair the model's depth information. First, project the coded color structured light which is coded using spatial code method on the surface of the plants. And photograph the plants using two non-contract...
High-resolution 3D reconstruction has become increasingly important due to its wide applications such as 3D printing, entertainment, engineering etc. In this paper, a high-resolution 3D reconstruction system based on structured light is proposed. Our proposed system contains a consuming projector and a digital camera. Unlike the traditional structured light which directly projects patterns into scenes,...
In this paper, we present an efficient 3D vessels reconstruction algorithm based on multi-views of X-ray Angiography assisting interventional surgery. First, we extract the vascular-like structures from the image sequences using a geometrical analysis of multi-scale Hessian matrix eigen-system and use the fast marching method to extract the skeleton of the structure, from which we derive the vascular...
With the increasing popularity of RGB-depth (RGB-D) sensors such as the Microsoft Kinect, there have been much research on capturing and reconstructing 3D environments using a movable RGB-D sensor. The key process behind these kinds of simultaneous location and mapping (SLAM) systems is the iterative closest point or ICP algorithm, which is an iterative algorithm that can estimate the rigid movement...
Colour structured light with spatial neighbourhood is one of the famous techniques that are used to acquire 3D information. By projecting the pattern onto the targeted object and taking the image, the structured light is measured as coded words and the corresponding points could be found. Finally, the process to reconstruct 3D information could be solved using the principle of triangulation. A major...
This paper investigates dense scene 3D reconstruction by fusing camera images and sparse laser data. This paper proposes color based sampling to improve discontinuity between objects, distance accuracy and smoothing of the same object. For robustness to light and camera noise, we apply mean shift filtering to camera image. Distance value is sampled from sparse laser data using color similarity. Kernel...
Many computer vision algorithms for pattern matching, object tracking, and 3-D reconstruction, etc., begin with feature detection and matching. Common feature detectors such as Harris, Sobel, Canny, and Difference of Gaussians perform basic linear algebra operations on an image in order to identify "corners" or "edges" for matching. These detectors however, require single-channel...
A new method for obtaining a three-dimensional volumetric reconstruction from a set of views improving the classical Shape from Silhouette method (SFS) is presented. SFS approaches can be easily accelerated through hardware and software techniques but they are very sensible to errors arising during calibration and segmentation processes so they present difficulties when dealing with real images. This...
This paper proposes an approach to scanning a real 3D object by a digital camera and DLP projector and calculating its 3D coordinates by coded structured light. Because the coded pattern is composed of color groups which came from color stripes, we can decode the color groups by color stripes of scan line. Pattern coding by permutation can reduce the error rate when some color stripes lost in a single...
We present an alternative approach to address correspondence in computational stereo. Accurate correspondence between two 2D images is required to determine depth, which leads to 3D model generation. To achieve this, optimized noise reduction method and accurate edge detection are required for preprocessing, followed by extracting the contours from the edge detection output and detecting the correspondence...
The use of human hand gestures as a natural interface tool has motivated researchers to conduct research in the modeling, analyzing and recognition of various hand movements. In particular, human computer intelligent interaction has been a focus for research in vision-based gesture recognition. In this work, we introduce a 3D hand model reconstruction method which offers flexible and elaborate representation...
We present a system that improves accuracy of food intake assessment using computer vision techniques. Traditional dietetic method suffers from the drawback of either inaccurate assessment or complex lab measurement. Our solution is to use a mobile phone to capture images of foods, recognize food types, estimate their respective volumes and finally return quantitative nutrition information. Automated...
In this paper, we offer an original method for 3D shape reconstruction based on an uncalibrated stereovision system (USS). The USS is composed of five cameras located on an arc around the object to be analysed. The method operates in two steps. First, points of interest are detected in pairs of images acquired by two consecutive cameras of the USS and matched. Then, using evolutionary algorithms,...
This paper investigates a human hand motion capture based on back projection of human hand's silhouette images extracted from multi-camera images. The multi-camera system consists of a server-client system to run the motion capture in real time, and small USB cameras are utilized to make the system compact and low cost. To achieve robust extraction of the hand's silhouette that is used in silhouette...
Great movie, animation, or game studios like using motion capture system because motion capture is able to retarget realistic performances from an actor to various virtual characters. However, the cost of motion capture system is too expensive to be affordable by budget limited SOHO studios. For this reason, this paper proposes a low-cost, effective, and easy method based on low-priced Webcams to...
This paper presents a 3-second 3D reconstruction algorithm able to process a dense geometric approximation of the surrounding environment. Image acquisition is done by a stereoscopic panoramic system with two color catadioptric cameras mounted on a mobile robot. An algorithm running on a Graphical Processing Unit (GPU) processes the 3D reconstruction in real-time. As the camera system moves, new views...
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