SEMIGLOBAL MATCHING RESULTS ON THE ISPRS STEREO MATCHING BENCHMARK
نویسندگان
چکیده
منابع مشابه
Optimizing Disparity Candidates Space in Dense Stereo Matching
In this paper, a new approach for optimizing disparity candidates space is proposed for the solution of dense stereo matching problem. The main objectives of this approachare the reduction of average number of disparity candidates per pixel with low computational cost and high assurance of retaining the correct answer. These can be realized due to the effective use of multiple radial windows, i...
متن کاملStereo sensitivity depends on stereo matching.
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...
متن کاملDsm Accuracy Evaluation for the Isprs Commission I Image Matching Benchmark
To improve the quality of algorithms for automatic generation of Digital Surface Models (DSM) from optical stereo data in the remote sensing community, the Working Group 4 of Commission I: Geometric and Radiometric Modeling of Optical Airborne and Spaceborne Sensors provides on its website http://www2.isprs.org/commissions/comm1/wg4/benchmark-test.html a benchmark dataset for measuring and comp...
متن کاملImage Matching Benchmark
Image matching has been one of the most fundamental and active research areas in computer vision community. In this field, existing evaluation protocols overemphasize feature design and ignore the performance of image level matching. However, the latter is critical for many high-level vision and robotics tasks. To address this, we present the first application-oriented image matching benchmark ...
متن کاملProject 3: Stereo Matching
In this paper, we implement an approach for stereo matching. Our algorithm is based on the approach proposed in [1]. The algorithm suffers from a deficiency that the information crosses the disparity levels and hence leads to a plain image later. We suggest some results to improve the performance of the algorithm using some common segmentation techniques.
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
سال: 2012
ISSN: 2194-9034
DOI: 10.5194/isprsarchives-xxxviii-4-w19-79-2011