Publications related to Pose (computer vision)

Removing Shadows from Images Using Color and Near-infrared

Sabine Süsstrunk, Neda Salamati, Arthur Germain

Shadows often introduce errors in the performance of computer vision algorithms, such as object detection and tracking. This paper proposes a method to remove shadows from real images based on a probability shadow map. The probability shadow map identifies ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2011

Vision-Based Navigation in Autonomous Close Proximity Operations Using Neural Networks

Seyed Mohammad Khansari Zadeh

Tight unmanned aerial vehicle (UAV) autonomous missions such as formation flight (FF) and aerial refueling (AR) require an active controller that works in conjunction with a precise sensor that is able to identify an in-front aircraft and to estimate its r ...

Institute of Electrical and Electronics Engineers2011

Dictionary learning in stereo imaging

Pascal Frossard, Ivana Tosic

This paper presents a new method for learning overcomplete dictionaries adapted to efficient joint representation of stereo images. We first formulate a sparse stereo image model where the multi-view correlation is described by local geometric transforms o ...

Institute of Electrical and Electronics Engineers2011

Combining Geometric and Appearance Priors for Robust Homography Estimation

Pascal Fua, Vincent Lepetit, Mustafa Özuysal

The homography between pairs of images are typically computed from the correspondence of keypoints, which are established by using image descriptors. When these descriptors are not reliable, either because of repetitive patterns or large amounts of clutter ...

2010

Simultaneous Pose, Correspondence and Non-Rigid Shape

Pascal Fua, Jonas Olof Martin Östlund

Recent works have shown that 3D shape of non-rigid surfaces can be accurately retrieved from a single im- age given a set of 3D-to-2D correspondences between that image and another one for which the shape is known. However, existing approaches assume that ...

2010

Enhancing the Visible with the Invisble: RGB plus Near-Infrared

Sabine Süsstrunk, Yue Lu, Neda Salamati, Daniel Tamburrino, Lex Schaul, Nathalie Barbuscia

Silicon-based digital camera sensors exhibit significant sensitivity beyond the visible spectrum (400-700nm). They are able to capture wavelengths up to 1100 nm, i.e., they are sensitive to near-infrared (NIR) radiation. This additional information is conv ...

2010

Super-resolved position and orientation estimation of fluorescent dipoles using 3D steerable filters

Theo Lasser, Iwan Märki, François Aguet, Stefan Geissbühler

Fluorescence localization microscopy techniques such as PALM and STORM achieve super-resolution by sequentially imaging sparse subsets of fluorophores, which are localized by means of Gaussian-based localization. Applied to fixed fluorophores, with dipole ...

2010

Super-resolved position and orientation estimation of fluorescent dipoles using 3-D steerable filters

Theo Lasser, Iwan Märki, François Aguet, Stefan Geissbühler

The diffraction patterns of fixed fluorophores are characteristic of the orientation of the molecules' underlying dipole. Fluorescence localization microscopy techniques such as PALM and STORM achieve super-resolution by sequentially imaging sparse subsets ...

Spie-Int Soc Optical Engineering, Po Box 10, Bellingham, Wa 98227-0010 Usa2010

Steerable filters for orientation estimation and localization of fluorescent dipoles

Michaël Unser, Theo Lasser, Iwan Märki, François Aguet, Stefan Geissbühler

Fluorescence localization microscopy (i.e., PALM, STORM) has enabled optical imaging at nanometer-scale resolutions. The localization algorithms used in these techniques rely on fitting a 2-D Gaussian to the in-focus image of individual fluorophores. For f ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2009

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Pose (computer vision)

Removing Shadows from Images Using Color and Near-infrared

Vision-Based Navigation in Autonomous Close Proximity Operations Using Neural Networks

Dictionary learning in stereo imaging

Combining Geometric and Appearance Priors for Robust Homography Estimation

Simultaneous Pose, Correspondence and Non-Rigid Shape

Enhancing the Visible with the Invisble: RGB plus Near-Infrared

Enhancing the Visible with the Invisible: Exploiting Near-Infrared to Advance Computational Photography and Computer Vision

Super-resolved position and orientation estimation of fluorescent dipoles using 3D steerable filters

Super-resolved position and orientation estimation of fluorescent dipoles using 3-D steerable filters

Steerable filters for orientation estimation and localization of fluorescent dipoles

Graph Chatbot

Chat with Graph Search

Combining Geometric and Appearance Priors for Robust Homography Estimation

Dictionary learning in stereo imaging

Removing Shadows from Images Using Color and Near-infrared

Simultaneous Pose, Correspondence and Non-Rigid Shape

Enhancing the Visible with the Invisble: RGB plus Near-Infrared

Enhancing the Visible with the Invisible: Exploiting Near-Infrared to Advance Computational Photography and Computer Vision

Super-resolved position and orientation estimation of fluorescent dipoles using 3D steerable filters

Super-resolved position and orientation estimation of fluorescent dipoles using 3-D steerable filters

Steerable filters for orientation estimation and localization of fluorescent dipoles