activity
20182026
most citedEdge SLAM: Edge Points Based Monocular Visual SLAM

52 citations · 105 across the 22 of their papers we have counts for

collaborators
Showing 2019Show all

7 papers · 1 filter

cs.RO2019★ 3 cited

Integrating Objects into Monocular SLAM: Line Based Category Specific Models

Nayan Joshi, Yogesh Sharma, Parv Parkhiya +3

We propose a novel Line based parameterization for category specific CAD models. The proposed parameterization associates 3D category-specific CAD model and object under considerat…

cs.CV2019

Lifting 2d Human Pose to 3d : A Weakly Supervised Approach

Sandika Biswas, Sanjana Sinha, Kavya Gupta +1

Estimating 3d human pose from monocular images is a challenging problem due to the variety and complexity of human poses and the inherent ambiguity in recovering depth from the sin…

cs.CV2019

Indoor dense depth map at drone hovering

Arindam Saha, Soumyadip Maity, Brojeshwar Bhowmick

Autonomous Micro Aerial Vehicles (MAVs) gained tremendous attention in recent years. Autonomous flight in indoor requires a dense depth map for navigable space detection which is t…

cs.CV2019★ 10 cited

3D point cloud registration with shape constraint

Swapna Agarwal, Brojeshwar Bhowmick

In this paper, a shape-constrained iterative algorithm is proposed to register a rigid template point-cloud to a given reference point-cloud. The algorithm embeds a shape-based sim…

cs.CV2019

Deep Representation Learning Characterized by Inter-class Separation for Image Clustering

Dipanjan Das, Ratul Ghosh, Brojeshwar Bhowmick

Despite significant advances in clustering methods in recent years, the outcome of clustering of a natural image dataset is still unsatisfactory due to two important drawbacks. Fir…

cs.CV2019★ 52 cited

Edge SLAM: Edge Points Based Monocular Visual SLAM

Soumyadip Maity, Arindam Saha, Brojeshwar Bhowmick

Visual SLAM shows significant progress in recent years due to high attention from vision community but still, challenges remain for low-textured environments. Feature based visual…