Results 41 to 50 of about 1,323,553 (218)
Estimation Of Epipolar Geometry Via The Radon Transform [PDF]
2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings, 2006 One of the key problems in computer vision is the recovery of epipolar geometry constraints between different camera views. The majority of existing techniques rely on point correspondences, which are typically perturbed by mismatches and noise, hence limiting the accuracy of these techniques.
S. Lehmann +3 more
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Optical Flow-Based Epipolar Estimation of Spherical Image Pairs for 3D Reconstruction
SICE Journal of Control, Measurement, and System Integration, 2017 Stereo vision is a well-known technique for vision-based 3D reconstruction of environments. Recently developed spherical cameras can be used to extend the concept to all 360° and provide LIDAR-like 360 degree 3D data with color information.
Sarthak Pathak +3 more
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A ROBUST METHOD FOR FUNDAMENTAL MATRIX ESTIMATION WITH RADIAL DISTORTION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 Fundamental Matrix Estimation is of vital importance in many vision applications and is a core part of 3D reconstruction pipeline. Radial distortion makes the problem to be numerically challenging.
J.-S. Xue, X.-N. Chen, H. Yi
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A case against epipolar geometry
, 1994 We discuss briefly a number of areas where epipolar geometry is currently central in carrying out visual tasks. In contrast we demonstrate configurations for which 3D projective invariants can be computed from perspective stereo pairs, but epipolar geometry (and full projective structure) cannot.
Zisserman, A, Maybank, SJ
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Epipolar Geometry based Learning of Multi-view Depth and Ego-Motion from Monocular Sequences [PDF]
Indian Conference on Computer Vision, Graphics & Image Processing, 2018 Deep approaches to predict monocular depth and ego-motion have grown in recent years due to their ability to produce dense depth from monocular images. The main idea behind them is to optimize the photometric consistency over image sequences by warping ...
V. Prasad, Dipanjan Das, B. Bhowmick
semanticscholar +1 more source
European Journal of Remote Sensing, 2018 The topic of this research is the identification of an innovative strategy for DSMs generation from optical satellite tri-stereo imagery, exploiting efficient dense matching algorithms from computer vision, without losing a rigorous photogrammetric ...
Martina Di Rita +2 more
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A visual servoing algorithm based on epipolar geometry [PDF]
Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164), 2002 A visual servoing algorithm for mobile robots is proposed. The main feature of the algorithm is that it exploits object profiles rather than solving correspondence problems using object features or texture. This property is crucial for mobile robot navigation in unstructured environments where the 3D scene exhibits only surfaces whose main features are
CHESI M., PRATTICHIZZO D., VICINO A.
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FlowGS: Controlling Information Flow for Graph‐Based Interaction in 3D Gaussian Splatting
Computer Graphics Forum, EarlyView.Abstract 3D Gaussian Splatting (3DGS) has recently enabled real‐time, high‐quality novel view synthesis. However, its formulation treats each Gaussian independently, lacking explicit information exchange between neighboring elements and limiting its ability to capture local structure.
T. Jia, R. Sun, W. Shi
wiley +1 more source
KPI‐NeRF: Hyperspectral Neural Radiance Fields from a Single Kaleidoscopic Plenoptic Image
Computer Graphics Forum, EarlyView.KPI‐NeRF reconstructs hyperspectral light field images from a single kaleidoscopic plenoptic image. By leveraging neural radiance fields, it enables high‐quality spectral and angular de‐multiplexing for dynamic scene capture. Abstract Plenoptic imaging has excessive sampling requirements associated with the high dimensionality of the desired data.
Erqi Huang +3 more
wiley +1 more source
HOPIS: Hybrid Omnidirectional and Perspective Imaging System for Mobile Robots
Sensors, 2014 In this paper, we present a framework for the hybrid omnidirectional and perspective robot vision system. Based on the hybrid imaging geometry, a generalized stereo approach is developed via the construction of virtual cameras. It is then used to rectify
Huei-Yung Lin, Min-Liang Wang
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