Search Results - "2007 IEEE Conference on Computer Vision and Pattern Recognition"

2007 IEEE Conference on Computer Vision and Pattern Recognition : 17-22 June, 2007, Minneapolis, MN by IEEE Conference on Computer Vision and Pattern Recognition, Baker, Simon, Matas, Jiri, Zabih, Ramin, Kanada, Takeo, Medioni, Gerard

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A Benchmark for the Comparison of 3-D Motion Segmentation Algorithms by Tron, R., Vidal, R.

“…Over the past few years, several methods for segmenting a scene containing multiple rigidly moving objects have been proposed. However, most existing methods…”
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Multiple Class Segmentation Using A Unified Framework over Mean-Shift Patches by Yang, Lin, Meer, Peter, Foran, David J.

“…Object-based segmentation is a challenging topic. Most of the previous algorithms focused on segmenting a single or a small set of objects. In this paper, the…”
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Region Classification with Markov Field Aspect Models by Verbeek, J., Triggs, B.

“…Considerable advances have been made in learning to recognize and localize visual object classes. Simple bag-of-feature approaches label each pixel or patch…”
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Learning Visual Similarity Measures for Comparing Never Seen Objects by Nowak, E., Jurie, F.

“…In this paper we propose and evaluate an algorithm that learns a similarity measure for comparing never seen objects. The measure is learned from pairs of…”
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Discovery of Collocation Patterns: from Visual Words to Visual Phrases by Junsong Yuan, Ying Wu, Ming Yang

“…A visual word lexicon can be constructed by clustering primitive visual features, and a visual object can be described by a set of visual words. Such a…”
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Learning Color Names from Real-World Images by van de Weijer, J., Schmid, C., Verbeek, J.

“…Within a computer vision context color naming is the action of assigning linguistic color labels to image pixels. In general, research on color naming applies…”
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Towards Scalable Representations of Object Categories: Learning a Hierarchy of Parts by Fidler, S., Leonardis, A.

“…This paper proposes a novel approach to constructing a hierarchical representation of visual input that aims to enable recognition and detection of a large…”
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Spatial selection for attentional visual tracking by Ming Yang, Junsong Yuan, Ying Wu

“…Long-duration tracking of general targets is quite challenging for computer vision, because in practice target may undergo large uncertainties in its visual…”
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Connecting the Out-of-Sample and Pre-Image Problems in Kernel Methods by Arias, P., Randall, G., Sapiro, G.

“…Kernel methods have been widely studied in the field of pattern recognition. These methods implicitly map, "the kernel trick," the data into a space which is…”
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Marker-less Deformable Mesh Tracking for Human Shape and Motion Capture by de Aguiar, E., Theobalt, C., Stoll, C., Seidel, H.-P.

“…We present a novel algorithm to jointly capture the motion and the dynamic shape of humans from multiple video streams without using optical markers. Instead…”
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Guest Editors' Introduction to the Special Section on CVPR Papers by Baker, Simon, Matas, Jiri, Zabih, Ramin

“…The four papers in this special section are extended versions of award-winning papers from the 2007 IEEE Conference on Computer Vision and Pattern Recognition…”
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Map-Enhanced UAV Image Sequence Registration and Synchronization of Multiple Image Sequences by Yuping Lin, Medioni, G.

“…Registering consecutive images from an airborne sensor into a mosaic is an essential tool for image analysts. Strictly local methods tend to accumulate errors,…”
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Quasi-Dense Wide Baseline Matching Using Match Propagation by Kannala, J., Brandt, S.S.

“…In this paper we propose extensions to the match propagation algorithm which is a technique for computing quasi-dense point correspondences between two views…”
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Sensor noise modeling using the Skellam distribution: Application to the color edge detection by Youngbae Hwang, Jun-Sik Kim, In-So Kweon

“…In this paper, we introduce the Skellam distribution as a sensor noise model for CCD or CMOS cameras. This is derived from the Poisson distribution of photons…”
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The Hyperbolic Geometry of Illumination-Induced Chromaticity Changes by Lenz, R., Latorre Carmona, P., Meer, P.

“…The non-negativity of color signals implies that they span a conical space with a hyperbolic geometry. We use perspective projections to separate intensity…”
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Object retrieval with large vocabularies and fast spatial matching by Philbin, J., Chum, O., Isard, M., Sivic, J., Zisserman, A.

“…In this paper, we present a large-scale object retrieval system. The user supplies a query object by selecting a region of a query image, and the system…”
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Saliency Detection: A Spectral Residual Approach by Xiaodi Hou, Liqing Zhang

“…The ability of human visual system to detect visual saliency is extraordinarily fast and reliable. However, computational modeling of this basic intelligent…”
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Evaluation of Cost Functions for Stereo Matching by Hirschmuller, H., Scharstein, D.

“…Stereo correspondence methods rely on matching costs for computing the similarity of image locations. In this paper we evaluate the insensitivity of different…”
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Matching Local Self-Similarities across Images and Videos by Shechtman, E., Irani, M.

“…We present an approach for measuring similarity between visual entities (images or videos) based on matching internal self-similarities. What is correlated…”
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