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7 years 22 days ago
Beyond Straight Lines - Object Detection using Curvature
We present an approach that directly uses curvature cues in a discriminative way to perform object recognition. We show that integrating curvature information substantially impr...
Antonio Monroy, Angela Eigenstetter and Björn Omm...

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spideryanStudent, PhD
NLPR
spideryan

Publication
659views
8 years 2 months ago
A Large-Scale Hierarchical Multi-View RGB-D Object Dataset
Over the last decade, the availability of public image repositories and recognition benchmarks has enabled rapid progress in visual object category and instance detection. Today we...
Kevin Lai, Liefeng Bo, Xiaofeng Ren and Dieter Fox
CVPR
2011
IEEE
8 years 2 months ago
Finding the Weakest Link in Person Detectors
Detecting people remains a popular and challenging problem in computer vision. In this paper, we analyze parts-based models for person detection to determine which components of t...
Devi Parikh, Larry Zitnick
IJRR
2010
214views more  IJRR 2010»
8 years 3 months ago
Object Recognition in 3D Point Clouds Using Web Data and Domain Adaptation
Over the last years, object detection has become a more and more active field of research in robotics. An important problem in object detection is the need for sufficient labeled ...
Kevin Lai, Dieter Fox
BMVC
2010
8 years 4 months ago
Object Detection with Geometrical Context Feedback Loop
We propose a new coherent framework for joint object detection, 3D layout estimation, and object supporting region segmentation from a single image. Our approach is based on the m...
Min Sun, Yingze Bao, Silvio Savarese
TIP
2008
219views more  TIP 2008»
8 years 6 months ago
Binary Partition Trees for Object Detection
This paper discusses the use of Binary Partition Trees (BPTs) for object detection. BPTs are hierarchical region-based representations of images. They define a reduced set of regio...
Verónica Vilaplana, Ferran Marqués, ...
CVIU
2007
193views more  CVIU 2007»
8 years 6 months ago
Interpretation of complex scenes using dynamic tree-structure Bayesian networks
This paper addresses the problem of object detection and recognition in complex scenes, where objects are partially occluded. The approach presented herein is based on the hypothe...
Sinisa Todorovic, Michael C. Nechyba
IVC
2006
259views more  IVC 2006»
8 years 6 months ago
Object detection using spatial histogram features
In this paper, we propose an object detection approach using spatial histogram features. As spatial histograms consist of marginal distributions of an image over local patches, th...
Hongming Zhang, Wen Gao, Xilin Chen, Debin Zhao
IJDAR
2006
245views more  IJDAR 2006»
8 years 6 months ago
Object count/area graphs for the evaluation of object detection and segmentation algorithms
Evaluation of object detection algorithms is a non-trivial task: a detection result is usually evaluated by comparing the bounding box of the detected object with the bounding box...
Christian Wolf, Jean-Michel Jolion
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