no code implementations • 18 Jul 2022 • Jiahui Fu, Chengyuan Lin, Yuichi Taguchi, Andrea Cohen, Yifu Zhang, Stephen Mylabathula, John J. Leonard
Given point clouds of the source and target scenes, we propose a three-step PlaneSDF-based change detection approach: (1) PlaneSDF volumes are instantiated within each scene and registered across scenes using plane poses; 2D height maps and object maps are extracted per volume via height projection and connected component analysis.
no code implementations • 9 Sep 2019 • Kazuto Ichimaru, Yuichi Taguchi, Hiroshi Kawasaki
This paper shows that accurate underwater 3D shape reconstruction is possible using a single camera, observing a target through a refractive interface.
1 code implementation • 6 Jul 2018 • Xin Yu, Sagar Chaturvedi, Chen Feng, Yuichi Taguchi, Teng-Yok Lee, Clinton Fernandes, Srikumar Ramalingam
In this paper, we propose VLASE, a framework to use semantic edge features from images to achieve on-road localization.
no code implementations • 13 Feb 2018 • Sergio Caccamo, Esra Ataer-Cansizoglu, Yuichi Taguchi
To robustly classify the features in each frame, we fuse multiple RANSAC-based registration results obtained by registering different groups of the features to different maps, including (1) all the features to the static map, (2) all the features to each object map, and (3) subsets of the features, each forming a segment, to each object map.
no code implementations • 17 Oct 2017 • Wim Abbeloos, Esra Ataer-Cansizoglu, Sergio Caccamo, Yuichi Taguchi, Yukiyasu Domae
We present a method for unsupervised 3D object discovery, reconstruction, and localization that exploits multiple instances of an identical object contained in a single RGB-D image.
no code implementations • 23 Jul 2017 • Wim Abbeloos, Sergio Caccamo, Esra Ataer-Cansizoglu, Yuichi Taguchi, Chen Feng, Teng-Yok Lee
Often multiple instances of an object occur in the same scene, for example in a warehouse.
no code implementations • 23 Mar 2016 • Oncel Tuzel, Yuichi Taguchi, John R. Hershey
In our deep network architecture the global and local constraints that define a face can be efficiently modeled and learned end-to-end using training data.
no code implementations • 8 Jan 2016 • Kilho Son, Ming-Yu Liu, Yuichi Taguchi
We use the robotic arm to automatically collect a large amount of ToF range images containing various multipath distortions.
no code implementations • CVPR 2013 • Ming-Yu Liu, Oncel Tuzel, Yuichi Taguchi
We propose an algorithm utilizing geodesic distances to upsample a low resolution depth image using a registered high resolution color image.
no code implementations • CVPR 2013 • Srikumar Ramalingam, Jaishanker K. Pillai, Arpit Jain, Yuichi Taguchi
In this paper, we consider the problem of detecting junctions and using them for recovering the spatial layout of an indoor scene.