Results 1 - 10 of 446

Recovering occlusion boundaries from an image

by Derek Hoiem, Alexei A. Efros, Martial Hebert - In ICCV , 2007
"... Occlusion reasoning is a fundamental problem in computer vision. In this paper, we propose an algorithm to recover the occlusion boundaries and depth ordering of free-standing structures in the scene. Rather than viewing the problem as one of pure image processing, our approach employs cues from an ..."
Abstract - Cited by 30 (3 self) - Add to MetaCart
Occlusion reasoning is a fundamental problem in computer vision. In this paper, we propose an algorithm to recover the occlusion boundaries and depth ordering of free-standing structures in the scene. Rather than viewing the problem as one of pure image processing, our approach employs cues from

Recovering Occlusion Boundaries from a Single Image

by Derek Hoiem, Andrew N. Stein, Alexei A. Efros, Martial Hebert
"... Occlusion reasoning, necessary for tasks such as navigation and object search, is an important aspect of everyday life and a fundamental problem in computer vision. We believe that the amazing ability of humans to reason about occlusions from one image is based on an intrinsically 3D interpretation. ..."
Abstract - Cited by 93 (10 self) - Add to MetaCart
. In this paper, our goal is to recover the occlusion boundaries and depth ordering of free-standing structures in the scene. Our approach is to learn to identify and label occlusion boundaries using the traditional edge and region cues together with 3D surface and depth cues. Since some of these cues require

Local detection of occlusion boundaries in video

by Andrew N. Stein, Martial Hebert - In BMVC , 2006
"... Occlusion boundaries are notoriously difficult for many patch-based computer vision algorithms, but they also provide potentially useful information about scene structure and shape. Using short video clips, we present a novel method for scoring the degree to which edges exhibit occlusion. We first u ..."
Abstract - Cited by 14 (5 self) - Add to MetaCart
Occlusion boundaries are notoriously difficult for many patch-based computer vision algorithms, but they also provide potentially useful information about scene structure and shape. Using short video clips, we present a novel method for scoring the degree to which edges exhibit occlusion. We first

Probabilistic Occlusion Boundary Detection on Spatio-Temporal Lattices

by M. E. Sargin, L. Bertelli, B. S. Manjunath, K. Rose
"... In this paper, we present an algorithm for occlusion boundary detection. The main contribution is a probabilistic detection framework defined on spatio-temporal lattices, which enables joint analysis of image frames. For this purpose, we introduce two complementary cost functions for creating the sp ..."
Abstract - Cited by 9 (0 self) - Add to MetaCart
In this paper, we present an algorithm for occlusion boundary detection. The main contribution is a probabilistic detection framework defined on spatio-temporal lattices, which enables joint analysis of image frames. For this purpose, we introduce two complementary cost functions for creating

Occlusion boundary detection using pseudo-depth

by Xuming He, Alan Yuille - In Proc. European Conference on Computer Vision, ECCV’10 , 2010
"... Abstract. We address the problem of detecting occlusion boundaries from motion sequences, which is important for motion segmentation, estimating depth order, and related tasks. Previous work by Stein and Hebert has addressed this problem and obtained good results on a benchmarked dataset using two-d ..."
Abstract - Cited by 15 (0 self) - Add to MetaCart
Abstract. We address the problem of detecting occlusion boundaries from motion sequences, which is important for motion segmentation, estimating depth order, and related tasks. Previous work by Stein and Hebert has addressed this problem and obtained good results on a benchmarked dataset using two

OCCLUSION BOUNDARY DETECTION USING AN ONLINE LEARNING FRAMEWORK

by Natan Jacobson, Yoav Freund, Truong Q. Nguyen
"... In this work, a novel occlusion detection algorithm using online learning is proposed for video applications. Each frame of a video is considered as a time-step for which pixels are classified as being either occluded or non-occluded. The Hedge algorithm is employed to determine weights for a set of ..."
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of experts, each of which is tuned to detect a specific type of occlusion boundary. In contrast to previous training-based methods, the proposed algorithm does not require any training, and has a runtime linear with respect to the number of ex-perts considered. Detection performance is excellent on novel

1 Local Detection of Occlusion Boundaries in Video

by Andrew N. Stein, Martial Hebert
"... Occlusion boundaries are notoriously difficult for many patch-based computer vision algorithms, but they also provide potentially useful information about scene structure and shape. Using short video clips, we present a novel method for scoring the degree to which edges exhibit occlusion. We first u ..."
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Occlusion boundaries are notoriously difficult for many patch-based computer vision algorithms, but they also provide potentially useful information about scene structure and shape. Using short video clips, we present a novel method for scoring the degree to which edges exhibit occlusion. We first

Occlusion Boundaries: Low-Level Detection to High-Level Reasoning

by Andrew Neil Stein, Alexei Efros, Rahul Sukthankar , 2008
"... 1.1 High-level Reasoning with Occlusion Boundaries............... 2 1.1.1 Object Segmentation........................... 3 1.1.2 Object Recognition............................ 3 ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
1.1 High-level Reasoning with Occlusion Boundaries............... 2 1.1.1 Object Segmentation........................... 3 1.1.2 Object Recognition............................ 3

Occlusion Boundary Detection and Figure/Ground Assignment from Optical Flow

by Patrik Sundberg, Thomas Brox, Michael Maire, Pablo Arbeláez, Jitendra Malik
"... In this work, we propose a contour and region detector for video data that exploits motion cues and distinguishes occlusion boundaries from internal boundaries based on optical flow. This detector outperforms the state-of-the-art on the benchmark of Stein and Hebert [24], improving average precision ..."
Abstract - Cited by 27 (2 self) - Add to MetaCart
In this work, we propose a contour and region detector for video data that exploits motion cues and distinguishes occlusion boundaries from internal boundaries based on optical flow. This detector outperforms the state-of-the-art on the benchmark of Stein and Hebert [24], improving average

OCCLUSION BOUNDARIES ESTIMATION FROM A HIGH-RESOLUTION SAR IMAGE

by Wenju He, Marc Jäger, Olaf Hellwich
"... Occlusion is the concept that several objects interfere with one another in an image. This phenomenon is prevalent in high resolution Synthetic Aperture Radar (SAR) images in urban areas. Geometric contents, which enable us to analyze occlusion, are partially observable in high resolution SAR images ..."
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images. Estimation of occlusion boundaries helps to discriminate different objects and localize their extents. An occlusion boundary map also corresponds to an efficient figure / ground segmentation, which would be quite promising for further object analysis. This paper applies a hierarchical framework
Results 1 - 10 of 446