2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06)

17-22 June 2006

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  • 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Cover

    Publication Year: 2006, Page(s): c1
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  • 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Title

    Publication Year: 2006, Page(s):i - iii
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  • 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Copyright

    Publication Year: 2006, Page(s): iv
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  • 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - TOC

    Publication Year: 2006, Page(s): v
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  • Message from the Program and General Chairs

    Publication Year: 2006, Page(s):xxvi - xxvii
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  • Conference organization

    Publication Year: 2006, Page(s): xxviii
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  • Program Committee

    Publication Year: 2006, Page(s): xxix
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  • Reviewers

    Publication Year: 2006, Page(s):xxx - xxxiii
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  • Clustering Appearance for Scene Analysis

    Publication Year: 2006, Page(s):1323 - 1330
    Cited by:  Papers (24)  |  Patents (1)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (5125 KB) | HTML iconHTML

    We propose a new approach called "appearance clustering" for scene analysis. The key idea in this approach is that the scene points can be clustered according to their surface normals, even when the geometry, material and lighting are all unknown. We achieve this by analyzing an image sequence of a scene as it is illuminated by a smoothly moving distant source. Each pixel thus gives rise to a "con... View full abstract»

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  • Space-Time Video Montage

    Publication Year: 2006, Page(s):1331 - 1338
    Cited by:  Papers (24)  |  Patents (1)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (6776 KB) | HTML iconHTML

    Conventional video summarization methods focus predominantly on summarizing videos along the time axis, such as building a movie trailer: The resulting video trailer tends to retain much empty space in the background of the video frames while discarding much informative video content due to size limit. In this paper we propose a novel spacetime video summarization method which we call space-time v... View full abstract»

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  • Fast Compact City Modeling for Navigation Pre-Visualization

    Publication Year: 2006, Page(s):1339 - 1344
    Cited by:  Papers (39)  |  Patents (7)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (561 KB) | HTML iconHTML

    Nowadays, GPS-based car navigation systems mainly use speech and aerial views of simplified road maps to guide drivers to their destination. However, drivers often experience difficulties in linking the simple 2D aerial map with the visual impression that they get from the real environment, which is inherently ground-level based. Therefore, supplying realistically textured 3D city models at ground... View full abstract»

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  • Single View Reconstruction of Curved Surfaces

    Publication Year: 2006, Page(s):1345 - 1354
    Cited by:  Papers (53)  |  Patents (1)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (1223 KB) | HTML iconHTML

    Recent advances in single-view reconstruction (SVR) have been in modelling power (curved 2.5D surfaces) and automation (automatic photo pop-up). We extend SVR along both of these directions. We increase modelling power in several ways: (i) We represent general 3D surfaces, rather than 2.5D Monge patches; (ii) We describe a closed-form method to reconstruct a smooth surface from its image apparent ... View full abstract»

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  • Recognize High Resolution Faces: From Macrocosm to Microcosm

    Publication Year: 2006, Page(s):1355 - 1362
    Cited by:  Papers (17)  |  Patents (1)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (631 KB) | HTML iconHTML

    Human faces manifest distinct structures and characteristics when observed in different scales. Traditional face recognition techniques mainly rely on low-resolution face images, leading to the lost of significant information contained in the microscopic traits. In this paper, we introduce a multilayer framework for high resolution face recognition exploiting features in multiple scales. Each face... View full abstract»

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  • Local Steerable Phase (LSP) Feature for Face Representation and Recognition

    Publication Year: 2006, Page(s):1363 - 1368
    Cited by:  Papers (4)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (336 KB) | HTML iconHTML

    In this paper, we propose a novel local steerable phase (LSP) feature extracted from the face image using steerable filter for face representation and recognition. Steerable filter is a kind of oriented filters. It is rotated very efficiently by taking a suitable linear combination of basis filters and allows adaptive control over phase as well as orientation. Phase information provided by steerab... View full abstract»

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  • Fusion of Summation Invariants in 3D Human Face Recognition

    Publication Year: 2006, Page(s):1369 - 1376
    Cited by:  Papers (5)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (333 KB) | HTML iconHTML

    A novel family of 2D and 3D geometrically invariant features, called summation invariants is proposed for the recognition of the 3D surface of human faces. Focusing on a rectangular region surrounding the nose of a 3D facial depth map, a subset of the so called semi-local summation invariant features is extracted. Then the similarity between a pair of 3D facial depth maps is computed to determine ... View full abstract»

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  • Deformation Modeling for Robust 3D Face Matching

    Publication Year: 2006, Page(s):1377 - 1383
    Cited by:  Papers (19)  |  Patents (1)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (631 KB) | HTML iconHTML

    Human face recognition based on 3D surface matching is promising for overcoming the limitations of current 2D image-based face recognition systems. The 3D shape is invariant to the pose and lighting changes, but not invariant to the non-rigid facial movement, such as expressions. Collecting and storing multiple templates for each subject in a large database (associated with various expressions) is... View full abstract»

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  • Locally Linear Models on Face Appearance Manifolds with Application to Dual-Subspace Based Classification

    Publication Year: 2006, Page(s):1384 - 1390
    Cited by:  Papers (14)  |  Patents (2)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (533 KB) | HTML iconHTML

    Recently, there has been a flurry of research on face recognition based on multiple images or shots from either a video sequence or an image set. This paper is also such an attempt in multiple-shot face recognition. Specifically, we propose a novel nonparametric method that first extracts discriminating local models via clustering. We apply a hierarchical distance-based clustering procedure accord... View full abstract»

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  • 3D Face Recognition Using 3D Alignment for PCA

    Publication Year: 2006, Page(s):1391 - 1398
    Cited by:  Papers (28)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (758 KB) | HTML iconHTML

    This paper presents a 3D approach for recognizing faces based on Principal Component Analysis (PCA). The approach addresses the issue of proper 3D face alignment required by PCA for maximum data compression and good generalization performance for new untrained faces. This issue has traditionally been addressed by 2D data normalization, a step that eliminates 3D object size information important fo... View full abstract»

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  • 3D Facial Expression Recognition Based on Primitive Surface Feature Distribution

    Publication Year: 2006, Page(s):1399 - 1406
    Cited by:  Papers (67)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (940 KB) | HTML iconHTML

    The creation of facial range models by 3D imaging systems has led to extensive work on 3D face recognition [19]. However, little work has been done to study the usefulness of such data for recognizing and understanding facial expressions. Psychological research shows that the shape of a human face, a highly mobile facial surface, is critical to facial expression perception. In this paper, we inves... View full abstract»

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  • Face Recognition using 2.5D Shape Information

    Publication Year: 2006, Page(s):1407 - 1414
    Cited by:  Papers (3)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (454 KB) | HTML iconHTML

    In this paper we investigate whether the 2.5D shape information delivered by a novel shape-from-shading algorithm can be used for illumination insensitive face recognition. We present a robust and efficient facial shape-fromshading algorithm which uses principal geodesic analysis to model the variation in surface orientation across a face. We show how this algorithm can be used to recover accurate... View full abstract»

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  • Joint Boosting Feature Selection for Robust Face Recognition

    Publication Year: 2006, Page(s):1415 - 1422
    Cited by:  Papers (11)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (440 KB) | HTML iconHTML

    A fundamental challenge in face recognition lies in determining what facial features are important for the identification of faces. In this paper, a novel face recognition framework is proposed to address this problem. In our framework, 3D face models are used to synthesize a huge database of realistic face images which covers wide appearance variations of faces due to various pose, illumination, ... View full abstract»

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  • A Generalized EM Approach for 3D Model Based Face Recognition under Occlusions

    Publication Year: 2006, Page(s):1423 - 1430
    Cited by:  Papers (17)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (501 KB) | HTML iconHTML

    This paper describes an algorithm for pose and illumination invariant face recognition from a single image under occlusions. The method iteratively estimates the parameters of a 3D morphable face model to approximate the appearance of a face in an image. Simultaneously, a visibility map is computed which segments the image into visible and occluded regions. The visibility map is incorporated into ... View full abstract»

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  • Learning Exemplar-Based Categorization for the Detection of Multi-View Multi-Pose Objects

    Publication Year: 2006, Page(s):1431 - 1438
    Cited by:  Papers (6)  |  Patents (1)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (990 KB) | HTML iconHTML

    This paper proposes a novel approach for multi-view multi-pose object detection using discriminative shapebased exemplars. The key idea underlying this method is motivated by numerous previous observations that manually clustering multi-view multi-pose training data into different categories and then combining the separately trained two-class classifiers greatly improved the detection performance.... View full abstract»

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  • Optimal Pose for Face Recognition

    Publication Year: 2006, Page(s):1439 - 1446
    Cited by:  Papers (3)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (698 KB) | HTML iconHTML

    Researchers in psychology have well studied the impact of the pose of a face as perceived by humans, and concluded that the so-called 3/4 view, halfway between the front view and the profile view, is the easiest for face recognition by humans. For face recognition by machines, while much work has been done to create recognition algorithms that are robust to pose variation, little has been done in ... View full abstract»

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  • A Visual Vocabulary for Flower Classification

    Publication Year: 2006, Page(s):1447 - 1454
    Cited by:  Papers (214)  |  Patents (1)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (1476 KB) | HTML iconHTML

    We investigate to what extent ‘bag of visual words’ models can be used to distinguish categories which have significant visual similarity. To this end we develop and optimize a nearest neighbour classifier architecture, which is evaluated on a very challenging database of flower images. The flower categories are chosen to be indistinguishable on colour alone (for example), and have considerable va... View full abstract»

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