55 citations · 100 across the 8 of their papers we have counts for
11 papers
Correspondence Matrices are Underrated
Tejas Zodage, Rahul Chakwate, Vinit Sarode +2
Point-cloud registration (PCR) is an important task in various applications such as robotic manipulation, augmented and virtual reality, SLAM, etc. PCR is an optimization problem i…
MaskNet: A Fully-Convolutional Network to Estimate Inlier Points
Vinit Sarode, Animesh Dhagat, Rangaprasad Arun Srivatsan +3
Point clouds have grown in importance in the way computers perceive the world. From LIDAR sensors in autonomous cars and drones to the time of flight and stereo vision systems in o…
One Framework to Register Them All: PointNet Encoding for Point Cloud Alignment
Vinit Sarode, Xueqian Li, Hunter Goforth +5
PointNet has recently emerged as a popular representation for unstructured point cloud data, allowing application of deep learning to tasks such as object detection, segmentation a…
Globally optimal registration of noisy point clouds
Rangaprasad Arun Srivatsan, Tejas Zodage, Howie Choset
Registration of 3D point clouds is a fundamental task in several applications of robotics and computer vision. While registration methods such as iterative closest point and varian…
PCRNet: Point Cloud Registration Network using PointNet Encoding
Vinit Sarode, Xueqian Li, Hunter Goforth +4
PointNet has recently emerged as a popular representation for unstructured point cloud data, allowing application of deep learning to tasks such as object detection, segmentation a…
PointNetLK: Robust & Efficient Point Cloud Registration using PointNet
Yasuhiro Aoki, Hunter Goforth, Rangaprasad Arun Srivatsan +1
PointNet has revolutionized how we think about representing point clouds. For classification and segmentation tasks, the approach and its subsequent extensions are state-of-the-art…
MRS-VPR: a multi-resolution sampling based global visual place recognition method
Peng Yin, Rangaprasad Arun Srivatsan, Yin Chen +7
Place recognition and loop closure detection are challenging for long-term visual navigation tasks. SeqSLAM is considered to be one of the most successful approaches to achieving l…
A Multi-Domain Feature Learning Method for Visual Place Recognition
Peng Yin, Lingyun Xu, Xueqian Li +6
Visual Place Recognition (VPR) is an important component in both computer vision and robotics applications, thanks to its ability to determine whether a place has been visited and…
A surgical system for automatic registration, stiffness mapping and dynamic image overlay
Nicolas Zevallos, Rangaprasad Arun Srivatsan, Hadi Salman +6
In this paper we develop a surgical system using the da Vinci research kit (dVRK) that is capable of autonomously searching for tumors and dynamically displaying the tumor location…
Trajectory-Optimized Sensing for Active Search of Tissue Abnormalities in Robotic Surgery
Hadi Salman, Elif Ayvali, Rangaprasad Arun Srivatsan +6
In this work, we develop an approach for guiding robots to automatically localize and find the shapes of tumors and other stiff inclusions present in the anatomy. Our approach uses…
Using Bayesian Optimization to Guide Probing of a Flexible Environment for Simultaneous Registration and Stiffness Mapping
Elif Ayvali, Rangaprasad Arun Srivatsan, Long Wang +3
One of the goals of computer-aided surgery is to match intraoperative data to preoperative images of the anatomy and add complementary information that can facilitate the task of s…