Author: Rakesh Kumar
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GPU Accelerated Realtime Stereo for Augmented Reality
This paper presents a realtime, robust, and accurate stereo matching algorithm based on a coarse-to-fine architecture.
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Robust Visual Path Following for Heterogeneous Mobile Platforms
We present an innovative path following system based upon multi-camera visual odometry and visual landmark matching.
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Monocular Structure from Motion for Near to Long Ranges
This paper describes a sensing system for estimating range and detecting the shape of objects from a few meters to a few kilometers away.
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Action Exemplar Based Real-Time Action Detection
We propose a real-time action detection system based on a novel action representation and an effective learning method with a small training set. We represent actions with a new feature that measures the global distance from a set of action exemplars, where action exemplars are constructed from a vocabulary that encodes local instantaneous body motions.
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VideoTrek: A Vision System for a Tag-Alone Robot
We present a system that combines multiple visual navigation techniques to achieve GPS-denied, non-line-of-sight SLAM capability for heterogeneous platforms.
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Infrastructure Free 6 DOF Location and Pose Estimation for Mixed Reality Systems
Mixed reality training systems using Head Mounted Displays (HMDs) require very high precision knowledge of the 3D location and 3D orientation of the user’s head.
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Vision-Based Perception for Autonomous Urban Navigation
We describe a low-cost vision-based sensing and positioning system that enables intelligent vehicles of the future to autonomously drive in an urban environment with traffic.
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Action Video Retrieval Based on Atomic Action Vocabulary
We propose an efficient action retrieval system that is based on a novel action representation and an effective video matching method.
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Matching Vehicles Under Large Pose Transformations Using Approximate 3D Models and Piecewise MRF Model
We propose a robust object recognition method based on approximate 3D models that can effectively match objects under large viewpoint changes and partial occlusion.
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Building Segmentation for Densely Built Urban Regions Using Aerial LIDAR Data
We present a novel building segmentation system for densely built areas, containing thousands of buildings per square kilometer.
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Discovering Class Specific Composite Features Through Discriminative Sampling with Swendsen-Wang Cut
This paper proposes a novel approach to discover a set of class specific composite features as the feature pool for the detection and classification of complex objects using AdaBoost.
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Real-Time Global Localization with a Pre-Built Visual Landmark Database
In this paper, we study how to build a vision-based system for global localization with accuracies within 10 cm. for robots and humans operating both indoors and outdoors over wide areas covering many square kilometers.