Searching for authors named "Tinne Tuytelaars" – sorted by Relevance.
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Vector quantizing feature space with a regular lattice
- Most recent class-level object recognition systems work with visual words, i.e., vector quantized local descriptors. In this paper we examine the feasibility of a dataindependent approach to construct such a visual vocabulary, where the feature space is discretized using a regular lattice. Using has
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A Survey on Local Invariant Features
- In this survey, we give an overview of local invariant features, how they evolved over time, what detectors exist nowadays, and what are their respective strengths and weaknesses. We begine by defining the properties of ideal local features. This is followed by an overview of work done over past fou
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Content-based Image Retrieval based on Local Affinely Invariant Regions
- This contribution develops a new technique for content-based image retrieval. Where most existing image retrieval systems mainly focus on color and color distribution or texture, we classify the images based on local invariants. These features represent the image in a very compact way and allow fast
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Wide Baseline Stereo Matching based on Local, Affinely Invariant Regions
- `Invariant regions' are image patches that automatically deform with changing viewpoint as to keep on covering identical physical parts of a scene. Such regions are then described by a set of invariant features, which makes it relatively easy to match them between views and under changing illuminati
- Cited by 98 (4 self) – Add To MetaCart
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A thousand words in a scene
- Abstract — This paper presents a novel approach for visual scene modeling and classification, investigating the combined use of text modeling methods and local invariant features. Our work attempts to elucidate (1) whether a text-like bag-of-visterms representation (histogram of quantized local visu
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Edited by:
- workshop is held for the second time at the Katholieke Universiteit Leuven, Belgium and has gained in importance over the years. The workshop is run in a two-day format. During the first day of the conference we welcome three keynote speakers. Thomas
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5. Conclusions & Closing Remarks
- � Combination with segmentation � New developments
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Adventurous Tourism for Couch Potatoes
- . Two tourist guides are described. One supports a virtual tour through an archaeological site, the other a tour through a real exhibition. The first system is based on the 3D reconstruction of the ancient city of Sagalassos. A virtual guide, represented by an animated mask can be given commands
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Grouping via the Matching of Repeated Patterns
- In this contribution, a novel and robust, geometry-based grouping strategy is proposed. Repeated, planar patterns in special relative positions are detected. The grouping is based on the idea of fixed structures. These are structures such as lines or points that remain fixed under the transformation
- Cited by 2 (0 self) – Add To MetaCart
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Omnidirectional sparse visual path following with occlusion-robust feature tracking
- Abstract — Omnidirectional vision sensors are very attractive for autonomous robots because they offer a rich source of environment information. The main challenge in using these for mobile robots is managing this wealth of information. A relatively recent approach is the use of fast wide baseline l
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