Search Results for "stereo matching"
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Showing 5 open source projects for "stereo matching"
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Provenance
An iOS & tvOS Frontend for Multiple Emulators
Provenance is an iOS & tvOS frontend for various emulators, supporting multiple Atari, Bandai, NEC, Nintendo, Sega, SNK and Sony console systems. It offers smooth and accurate, full-speed emulation to give you an awesome and genuine playing experience. Provenance is built with a host of awesome features, such as save anywhere and battery saves, controller support, automatic ROM matching and ROM customizations, and many more. Provenance supports a great number of console systems, with more... -
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The purpose of this program is to calculate the phase transformation crystallography after a phase transformation and represent the results in graphical way such as in stereo graphic projection.The most recent crystallographic theories for both martensite and diffusional transformation are included.The variant selection during phase transformation could also be analyzed. The lattice matching near the interface, the superimposed diffraction patterns and so on can be readily simulated...
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We presented an effective procedure for generating stereo images by self-calibration and producing quality depth maps by matching of stereo images. We demonstrate that the canopy height distribution can reveal distinctive responses in growth pattern over time, for different varieties subject to the same treatment and for the same variety subjected to different treatments. The results of the procedure are shown to compare favourably with and are indeed more consistent than manual measurements...
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EStereo is a computer vision C++ library for real-time disparity estimation. It computes dense stereo matching from 2 or 3 images as well as 3D scene reconstruction. The library also comes with a GUI-based application (StereoPlus).
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Track all your service data in one easy-to-use system, enabling your team to move faster and generate more revenue for your bottom line.
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A software to implement the existing stereo matching algorithms in computer vision, including the easiest SSD, and the newest algorithms.
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