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Two-Dimensional, Vision-Based Measurement for Experimental Characterization of Planar Compliant Mechanisms: A Critical Review and Uncertainty-Aware Framework. [PDF]
Micromachines (Basel)Ozarkar RR +4 more
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MVDFusion: Multimodal Vehicle Detection in Foggy Weather Using LiDAR and Radar Fusion. [PDF]
Sensors (Basel)Tian J +7 more
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Modeling Long-Range Dependencies and Epipolar Geometry for Multi-View Stereo
ACM Transactions on Multimedia Computing, Communications and Applications, 2023 This article proposes a network, referred to as Multi-View Stereo TRansformer (MVSTR) for depth estimation from multi-view images. By modeling long-range dependencies and epipolar geometry, the proposed MVSTR is capable of extracting dense features with ...
Qingming Huang, Wanqing Li, Bo Peng
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Foundations and Trends® in Computer Graphics and Vision, 2015
This tutorial presents a hands-on view of the field of multi-view stereo with a focus on practical algorithms. Multi-view stereo algorithms are able to construct highly detailed 3D models from images alone. They take a possibly very large set of images and construct a 3D plausible geometry that explains the images under some reasonable assumptions, the
Yasutaka Furukawa, Carlos Hernández
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This tutorial presents a hands-on view of the field of multi-view stereo with a focus on practical algorithms. Multi-view stereo algorithms are able to construct highly detailed 3D models from images alone. They take a possibly very large set of images and construct a 3D plausible geometry that explains the images under some reasonable assumptions, the
Yasutaka Furukawa, Carlos Hernández
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2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops, 2009
This paper presents a scalable multi-view stereo reconstruction method which can deal with a large number of large unorganized images in affordable time and effort. The computational effort of our technique is a linear function of the surface area of the observed scene which is conveniently discretized to represent sufficient but not excessive detail ...
Michal Jancosek +2 more
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This paper presents a scalable multi-view stereo reconstruction method which can deal with a large number of large unorganized images in affordable time and effort. The computational effort of our technique is a linear function of the surface area of the observed scene which is conveniently discretized to represent sufficient but not excessive detail ...
Michal Jancosek +2 more
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Attention-Aware Multi-View Stereo
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020Multi-view stereo is a crucial task in computer vision, that requires accurate and robust photo-consistency among input images for depth estimation. Recent studies have shown that learning-based feature matching and confidence regularization can play a vital role in this task.
Keyang Luo +5 more
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Multi-view Photometric Stereo by Example
2014 2nd International Conference on 3D Vision, 2014We present a novel multi-view photometric stereo technique that recovers the surface of texture less objects with unknown BRDF and lighting. The camera and light positions are allowed to vary freely and change in each image. We exploit orientation consistency between the target and an example object to develop a consistency measure.
Jens Ackermann +4 more
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Probabilistic visibility for multi-view stereo
2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007We present a new formulation to multi-view stereo that treats the problem as probabilistic 3D segmentation. Previous work has used the stereo photo-consistency criterion as a detector of the boundary between the 3D scene and the surrounding empty space.
Carlos Hernández 0002 +2 more
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Multi-view stereo beyond Lambert
2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings., 2003We consider the problem of estimating the shape and radiance of an object from a calibrated set of views under the assumption that the reflectance of the object is non-Lambertian. Unlike traditional stereo, we do not solve the correspondence problem by comparing image-to-image.
Hailin Jin +2 more
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