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Stereo matching is an essential step in depth estimation, which can be formulated as an energy minimization problem. This paper presents a novel global energy optimization framework for stereo matching. We formulate a new data term revised from normal NCC algorithm. In addition, we adopt multichannel pixel values from input corresponding images to improve the data accuracy. Finally, a bidirectional...
This paper presents an outlier removing method for improving the performance of automatic 3D reconstruction of scene using video sequences acquired with an uncalibrated camera. Firstly, the feature points in the region of interest are tracked in video sequences via KLT tracker. Secondly, we applied a vector direction analysis (VDA) strategy in our system for outlier's removal, which can efficiently...
3D reconstruction with uncalibrated image sequences is an important technique in computer vision. A lot of methods have been proposed to acquire 3D object structure and camera models. However, these methods of reconstruction always need corresponding points in more than two images. In this paper, a practical method of 3D reconstruction based on uncalibrated image sequence is proposed. This method...
This paper presents a novel object-oriented stereo matching on multi-scale superpixels to generate a low-resolution depth map. It overcomes the classic downsampling methods' disadvantages, such as boundary blurring, outlier enlargement and foreground objects merging to background, etc. The approach we exploited is to segment the image in three scales' superpixels from dense to sparse ones according...
Reconstructing 3D shapes from 2D images based on structured light is becoming an increasingly important topic in computer vision. However, low resolution and sensitive to environment illumination are the main restriction of this technology for practical application. This paper proposes a new color coded structured light technique for reconstructing object shape from a single image. This technique...
Euclidean reconstruction of an object is one of the challenging problems in computer vision. This paper uses the singular value decomposition (SVD) method to solve the problem of Euclidean reconstruction from translational motion, under one calibrated camera. This paper mainly analyzes how the different elements (camera intrinsic parameters, corresponding error, the value and the direction of translation)...
Global based and local based methods are two main aspects of stereo correspondence. Up to now, they both have achieved some significant results but still have their own problems. The global based approach mostly makes the result too smooth to include more details, while the local based method makes the result noisier. This paper proposes a novel method which combines the global and local traits as...
On the purpose of 3D reconstruction, this paper proposes a novel template based method for detecting and matching key points in microscopic images of Micro Electromechanical System (MEMS) components. Since the feature detection and matching is already a difficult problem, selecting features that can reflect the information of object structure and be matched well in microscopic images of MEMS components...
Camera calibration is one of fundamental issues in computer vision and required for achieving accurate visual measurements. Least Squares Support Vector Machines (LS-SVM) are used to achieve the camera calibration. It doesn't need to confirm the intrinsic and extrinsic parameter of the camera. For a little more accurate calibration, acquired image is divided into two regions according to radial distortion...
This paper presents a method for reconstruction of entire three-dimensional objects based on principles of the rotational stereo. The experimental system, which has three degrees of freedom (two for translation and one for rotation), uses an accurate stage to make all areas of the object surface visible. It only needs one camera to capture images and thus reduces the implementation cost. The object...
It has been well recognized that the weld pool geometry plays a critical role in the welding process. In this study, a diode laser welding control system is established. The authors performed a series of open-loop experiments to investigate the interaction and the correlation among of the laser energy, the welding speed, and the weld pool geometry. A digital camera with a high speed shutter is equipped...
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