Iterative Refinement of Transmission Map for Stereo Image Defogging Using a Dual Camera Sensor
Recently, the stereo imaging-based image enhancement approach has attracted increasing attention in the field of video analysis. This paper presents a dual camera-based stereo image defogging algorithm.
Heegwang Kim +3 more
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Discrete orthogonal moments (DOMs) are widely applied in the field of image processing. However, most existing DOMs are used for flat image analysis and are less suitable for color stereo image processing.
Achraf Daoui +6 more
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POTENTIAL EXPLORATION OF SEGMENTATION DRIVEN STEREO MATCHING OF VERY HIGH-RESOLUTION SATELLITE IMAGERY [PDF]
The automatic establishment of image relationship between oblique images can be a challenging task. Feature based image matching (FBM) establishes this relationship by detecting and matching corresponding feature points.
E. J. Dippold, F. Tsai, F. Tsai
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Stereo Model Selection and Point Cloud Filtering using an Out-of-Core Octree [PDF]
Dense image matching methods enable the retrieval of dense surface information using any kind of imagery. The best quality can be achieved for highly overlapping datasets, which avoids occlusions and provides highly redundant observations.
K. Wenzel, N. Haala, D. Fritsch
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COMPARISON OF DIGITAL TERRAIN MODELS FROM TWO PHOTOCLINOMETRY METHODS [PDF]
We evaluate the horizontal resolution and vertical precision for digital topographic models (DTMs) of the Moon derived from image radiance information, a process known as photoclinometry (PC) or shape-from-shading (SfS). We use the implementations in two
R. L. Kirk +6 more
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RECOGNIZING TAMIL PALM-LEAF MANUSCRIPT CHARACTERS USING HYBRIDIZED HUMAN PERCEPTION BASED FEATURES
The paper presents a new Convolutional Neural Network (CNN) architecture, called stacked stereo CNN, for computing disparity map from stereo images. In stacked stereo CNN, left and right image patches are stacked back-to-back and fed to a single tower ...
Paramasivam Muthan Eswaran +2 more
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PATCH BASED STEREO MATCHING USING CONVOLUTIONAL NEURAL NETWORK
The paper presents a new Convolutional Neural Network (CNN) architecture, called stacked stereo CNN, for computing disparity map from stereo images. In stacked stereo CNN, left and right image patches are stacked back-to-back and fed to a single tower ...
Rachna Verma, Arvind Kumar Verma
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Implementation of a Self-Consistent Stereo Processing Chain for 3D Stereo Reconstruction of the Lunar Landing Sites [PDF]
The department for Planetary Geodesy at Technical University Berlin is developing routines for photogrammetric processing of planetary image data to derive 3D representations of planetary surfaces.
E. Tasdelen +4 more
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Panoramic Stereo Imaging of a Bionic Compound-Eye Based on Binocular Vision
With the rapid development of the virtual reality industry, one of the bottlenecks is the scarcity of video resources. How to capture high-definition panoramic video with depth information and real-time stereo display has become a key technical problem ...
Xinhua Wang, Dayu Li, Guang Zhang
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FPGA-based multi-view stereo system with flexible measurement setup
In recent years, stereoscopic image processing algorithms have gained importance for a variety of applications. To capture larger measurement volumes, multiple stereo systems are combined into a multi-view stereo (MVS) system.
Christina Junger +3 more
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