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AUTOMATED BUILDING DETECTION IN DENSE POINT CLOUD AND UPDATE OF OPEN SOURCE DATA BASES
Dense matching, Building detection Classification Digital Terrain Model openstreetmap point cloud
2018/9/12
In this paper a method of detecting buildings in dense populated city areas using a three-dimensional model, produced by aerial images, is described. Further to the detection of the outline of the bui...
DETECTION OF CURBSTONES IN AIRBORNE LASER SCANNING DATA
feature extraction road detection airborne laser scanning
2016/2/29
The high point densities obtained by today’s airborne laser scanners enable the extraction of various features that are traditionally
mapped by photogrammetry or land surveying. While significant pr...
RADIOMETRIC CALIBRATION OF TLS INTENSITY: APPLICATION TO SNOW COVER CHANGE DETECTION
Terrestrial Laser Scanning Radiometric Calibration Snow Cover Topographic Effect
2012/9/3
This paper reports on the radiometric calibration and the use of calibrated intensity data in applications related to snow cover monitoring with a terrestrial laser scanner (TLS). An application of th...
AN ALGORITHM FOR COASTLINE DETECTION USING SAR IMAGES
Coastline extraction remote sensing image processing SAR PALSAR
2012/8/1
Coastal management requires rapid, up-to-date, and correct information. Thus, coastal movements have primary importance for coastal managers. For monitoring the change of shorelines, remote sensing da...
TRAFFIC SIGN DETECTION BASED ON BIOLOGICALLY VISUAL MECHANISM
Vision Sciences Optical Detection Urban Automation
2012/7/30
TSR (Traffic sign recognition) is an important problem in ITS (intelligent traffic system), which is being paid more and more attention for realizing drivers assisting system and unmanned vehicle etc....
STRUCTURE LINE DETECTION FROM LIDAR POINT CLOUDS USING TOPOLOGICAL ELEVATION ANALYSIS
Detection Automation Analysis Point cloud LIDAR Building Model
2012/7/24
Airborne LIDAR point clouds, which have considerable points on object surfaces, are essential to building modeling. In the last two decades, studies have developed different approaches to identify str...
Granularity-tunable Gradients Partition (GGP) Descriptors for Human Detection
Granularity-tunable Gradients Partition Descriptors Human Detection
2009/12/31
This paper proposes a novel descriptor, granularitytunable gradients partition (GGP), for human detection. The concept granularity is used to define the spatial and angular
uncertainty of the line se...
Directional Correlation Analysis of Local Haar Binary Pattern (LHBP) for Text Detection
Directional Correlation Analysis Local Haar Binary Pattern Text Detection
2008/12/31
Two main restrictions exist in state-of-the-art text detection algorithms: 1. Illumination variance; 2. Text-background contrast variance. This paper presents a robust text
characterization approach ...
Text Particles Multi-Band Fusion for Robust Text Detection
Text Particles Multi-Band Fusion Text Detection
2008/12/31
Texts in images and videos usually carry important information for visual content understanding and retrieval. Two main restrictions exist in the state-of-the-art text detection algorithms: weak contr...
Text in images and videos is a significant cue for visual content understanding and retrieval. In this paper, we present a fast and effective approach to locate text lines
even under complex backgrou...
Pedestrian Detection via Logistic Multiple Instance Boosting
Pedestrian Detection Logistic Multiple Instance Boosting
2008/12/31
Pedestrian detection in still image should handle the large appearance and pose variations arising from the articulated structure and various clothing of human bodies as well as
view points. So it is...
Multiple Instance Boost using Graph Embedding Based Decision Stump for Pedestrian Detection
Multiple Instance Boost Graph Embedding Pedestrian Detection
2008/12/31
Pedestrian detection in still image should handle the large appearance and stance variations arising from the articulated structure,various clothing of human as well as viewpoints. In this paper, we a...
Weakly-supervised Violence Detection in Movies with Audio and Video Based Co-training
Weakly-supervised Violence Detection Movies Audio Video Based Co-training
2008/12/31
In this work, we present a novel method to detect violent shots in movies. The detection process is split into two views–––the audio and video views. From the audio-view, a weakly-supervised method is...
Aiming at unloading the high training time burden of the popular cascaded classifier, in this paper, a novel cascade structure called Fea-Accu cascade is proposed. In Fea-Accu
cascade training, the t...
Robust Multi-view Face Detection Using Error Correcting Output Codes
Face Detection Error Correcting Output Codes
2006/12/31
This paper presents a novel method to solve multi-view face detection problem by Error Correcting Output Codes (ECOC). The motivation is that face patterns can be divided into separated classes across...