In this paper, we propose a new stereo matching hardware architecture based on the ADCensus stereo matching algorithm that produces accurate disparity map. The proposed stereo matching hardware architecture is fully pipelined and processes images with disparity level parallelism in real time. Also, it uses modulo memory addressing methods for reducing the size of memory and the usage of hardwar...

We present a new projective invariant-based technique for recovering depth information from stereo images. The basic idea of our method is to use intensity segments as primitives for stereo matching. To recover the depth information of intensity segments, two projective invariants are introduced. From the two invariants, we can derive a relation that should be satisfied between the matching pai...

Knowledge of the epipolar lines is of utmost importance in stereo vision since they describe the geometrical relationship between the world points and their projections on the imaging sensors. In this paper we propose a two-phase method to solve the epipolar geometry. Firstly, we extract the corners from a stereo pair and their correspondences are determined by imposing a number of matching con...

Tracing of corresponding phenomena (matching) is necessary in many applications, like image sequence analysis, aerotriangulation and 3-D geometric information extraction from stereo pairs of images. An important industrial application is robot stereo vision. In digital images the correspondence problem can be approached by signal, feature or relational matching. Common, at the moment, is the si...

We suggest an efficient real-time method for removing occlusions when synthesizing intermediate views from two stereo images by stereo matching algorithm. The proposed method can carry out the correction of noise resulting from stereo matching, removal of occlusions to achieve high fidelity rendering, and parallel computing to achieve realtime synthesis. The proposed algorithm is compared with ...

Stereoacuity thresholds, measured with bar targets, rise as the absolute disparity of the bars is increased. One explanation for this rise is that, as the bars are moved away from the fixation plane, the stereo system uses coarser mechanisms to encode the bars' disparity; coarse mechanisms are insensitive to small changes in target disparity, resulting in higher thresholds. To test this explana...

The application of energy minimisation methods for stereo matching has been demonstrated to produce high quality disparity maps. However, the majority of these methods are known to be computationally expensive requiring minutes of computation. In this paper, we propose a fast minimisation scheme that produces high quality stereo reconstructions for significantly reduced running time, requiring ...

In this paper, we present a cooperative stereo vision algorithm with three cameras for dense disparity mapping and occlusion detection. Based on nonlinear iteration and multiple cameras, the disparity maps are smooth and the object boundaries are accurate. Occlusions for each stereo pair are detected effectively by examining the iterative inhibition and magnification of the matching evaluation....

An efficient technique is presented for obtaining dense stereo correspondence using a new adaptive Block Matching technique. First, one of the color stereo images (e.g., the left) is segmented into chromatic and achromatic regions using perceptual attributes in the HSI color space. Then the Block Matching technique is applied to the stereo images using adaptive similarity measures. The results ...

83 Abstract— Image segmentation is always a challenging task in computer vision as well as in pattern recognition. Nowadays, this method has great importance in the field of stereo vision. The disparity information extracting from the binocular image pairs has essential relevance in the fields like Stereoscopic (3D) Imaging Systems, Virtual Reality and 3D Graphics. The term 'disparity' represen...