Results 261 to 270 of about 2,118,485 (294)

Structure from Motion.

1976
Abstract : Work on improving gradient-based methods for optical flow estimation has been completed. An understanding of how errors arise makes it possible to define the inherent limitations of the gradient-based technique, obtain estimates of the accuracy of computed values, enhance the performance of the technique, and demonstrate the informative ...
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Recursive Structure from Motion

2017
In this paper we present a technique that estimates the Structure from Motion (SFM) in a recursive fashion. Traditionally successful SFM algorithms take the set of images and estimate the scene geometry and camera positions either using incremental algorithms or the global algorithms and do the refinement process [2] to reduce the reprojection error ...
M. Chebiyyam, S. Chaudhury, I. N. Kar
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Semantic structure from motion

CVPR 2011, 2011
Conventional rigid structure from motion (SFM) addresses the problem of recovering the camera parameters (motion) and the 3D locations (structure) of scene points, given observed 2D image feature points. In this paper, we propose a new formulation called Semantic Structure From Motion (SSFM).
Sid Yingze Bao, Silvio Savarese
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Reducing "structure from motion"

Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1996
The literature on recursive estimation of structure and motion from monocular image sequences comprises a large number of different models and estimation techniques. We propose a framework that allows us to derive and compare all models by following the idea of dynamical system reduction.
Soatto, Stefano, Perona, Pietro
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Direct Structure from Motion

2013
This chapter is concerned with robust 3D scene modeling using a novel Structure from Motion algorithm - Direct Pose Registration Structure from Motion (DPR-SfM). The aim is to obtain a high precision texture model of a generic scene acquired using any off the shelf camera undergoing an arbitrary trajectory. The reconstruction algorithm does not require
Tudor Nicosevici, Rafael Garcia
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Resampling Structure from Motion

2010
This paper proposes a hierarchical framework that resamples 3D reconstructed points to reduce computation cost on time and memory for very large-scale Structure from Motion. The goal is to maintain accuracy and stability similar for different resample rates.
Tian Fang, Long Quan
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STRUCTURE FROM MOTION

2018
Hess, Mona, Green, Susie
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Translating energy balance research from the bench to the clinic to the community: Parallel animal‐human studies in cancer

Ca-A Cancer Journal for Clinicians, 2023
exaly  

Cancer risks associated with external radiation from diagnostic imaging procedures

Ca-A Cancer Journal for Clinicians, 2012
Martha S Linet, Donald L Miller, Ruth A Kleinerman   +2 more
exaly  

Structure-from-Motion

2009
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