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1 |
Stereo disparity optimization with depth change constraint based on a continuous video
بهینه سازی اختلاف استریو با محدودیت تغییر عمق بر اساس یک فیلم مداوم-2021 Three-dimensional reconstruction based on stereo vision technology is an important research direction in the field of computer vision, and has a wide range of applications in industrial measurement, medical image reconstruction, cultural relic preservation, robot navigation, virtual reality and other fields. However, the three- dimensional reconstruction of moving objects usually has poor accuracy, low efficiency and poor visualization effect due to the image noise, motion blur, complex and time-consuming calculation etc. In this article, a disparity optimization method based on depth change constraint is proposed, which utilizes the correlation of the adjacent frames in the continuous video sequence to eliminate mismatches and correct the wrong disparity values by introducing a depth change constraint threshold. The experiments on the video images which are taken by a binocular stereo vision system demonstrate that our method of removing incorrect matches bears satisfactory results and it can greatly improve the effect of the three-dimensional reconstruction of the moving objects. Keywords: Disparity optimization | Three-dimensional reconstruction | Depth change constraint | Video images |
مقاله انگلیسی |
2 |
Stereo disparity optimization with depth change constraint based on a continuous video
بهینه سازی اختلاف استریو با محدودیت تغییر عمق بر اساس یک فیلم مداوم-2021 Three-dimensional reconstruction based on stereo vision technology is an important research direction in the field of computer vision, and has a wide range of applications in
industrial measurement, medical image reconstruction, cultural relic preservation, robot
navigation, virtual reality and other fields. However, the three-dimensional reconstruction of moving objects usually has poor accuracy, low eciency and poor visualization
eect due to the image noise, motion blur, complex and time-consuming calculation
etc. In this article, a disparity optimization method based on depth change constraint is
proposed, which utilizes the correlation of the adjacent frames in the continuous video
sequence to eliminate mismatches and correct the wrong disparity values by introducing a depth change constraint threshold. The experiments on the video images which
are taken by a binocular stereo vision system demonstrate that our method of removing
incorrect matches bears satisfactory results and it can greatly improve the eect of the
three-dimensional reconstruction of the moving objects.
Keywords: Disparity optimization | Three-dimensional reconstruction | Depth change constraint | Video images |
مقاله انگلیسی |