Results 71 to 80 of about 13,857,479 (154)

Urban object detection using a fusion approach of dense urban digital surface models and VHR optical satellite stereo data [PDF]

, 2010
In this paper we describe a new approach for the extraction of urban objects from very high resolution (VHR) optical stereo satellite imagery. Such data is delivered from sensors like Ikonos, QuickBird, GeoEye or WorldView-II.
Reinartz, Peter, Krauß, Thomas
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Pedestrian detection in uncontrolled environments using stereo and biometric information [PDF]

, 2006
A method for pedestrian detection from challenging real world outdoor scenes is presented in this paper. This technique is able to extract multiple pedestrians, of varying orientations and appearances, from a scene even when faced with large and multiple
O'Connor, Noel E., Noel E. O’Connor, Kelly, Philip, Smeaton, Alan F., Philip Kelly, O\u27Connor, Noel E., Alan F. Smeaton, Noel E. O'Connor   +7 more
core   +2 more sources

Extracting Orthogonal Building Objects in urban Areas from high resolution Stereo Satellite Image Pairs [PDF]

, 2007
Since the number of urban residents is rapidly increasing, especially in developing countries, relatively cheap and fast methods for modeling and mapping such cities are required.
Reinartz, Peter, Stilla, Uwe, Krauß, Thomas   +2 more
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Performance Analysis of Keypoints Detection and Description Algorithms for Stereo Vision Based Odometry

Sensors
This paper presents a comprehensive evaluation of keypoint detection and description algorithms for stereo vision-based odometry in dynamic environments.
Sebastian Budzan, Roman Wyżgolik, Michał Lysko   +2 more
doaj   +1 more source

Efficient Stereo Visual Odometry on FPGA Featuring On-Chip Map Management and Pipelined Descriptor-Based Block Matching

IEEE Access
Due to its ability to capture natural light without emitting additional signals, a stereo camera is a promising option for low-power visual odometry (VO).
Yuki Ichikawa, Kazushi Kawamura, Masato Motomura, Thiem van Chu   +3 more
doaj   +1 more source

Shoreline kinematics in Libreville (Gabon) derived from very high spatial resolution (VHR) imagery using machine and deep learning techniques

Applied Computing and Geosciences
Artificial Intelligence (AI) , remote Sensing (RS) and observations and field data offer a number of advantages for detection and automatic extraction of coastline evolution.
Nina Manomba-Mbadinga, Simona Niculescu
doaj   +1 more source

Bi-layer segmentation of binocular stereo video [PDF]

, 2005
This paper describes two algorithms capable of real-time segmentation of foreground from background layers in stereo video sequences. Automatic separation of layers from colour/contrast or from stereo alone is known to be error-prone.
A. Blake, Kolmogorov, V, Criminisi, A, G. Cross, C. Rother, V. Kolmogorov, Blake, A, Cross, G, Rother, C, A. Criminisi   +9 more
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Depth Image Processing for Obstacle Avoidance of an Autonomous VTOL UAV [PDF]

, 2006
We describe a new approach for stereo-based obstacle avoidance. This method analyzes the images of a stereo camera in realtime and searches for a safe target point that can be reached without collision.
Thielecke, Frank, Andert, Franz, Strickert, Gordon   +2 more
core  

Semantic labelling of road scenes using supervised and unsupervised machine learning with lidar-stereo sensor fusion [PDF]

At the highest level the aim of this thesis is to review and develop reliable and efficient algorithms for classifying road scenery primarily using vision based technology mounted on vehicles. The purpose of this technology is to enhance vehicle safety
Osgood, Thomas J.
core