Recognition of 3D objects with uniform surface reflectance
| Název práce v češtině: | Recognition of 3D objects with uniform surface reflectance |
|---|---|
| Název v anglickém jazyce: | Recognition of 3D objects with uniform surface reflectance |
| Akademický rok vypsání: | 2005/2006 |
| Typ práce: | diplomová práce |
| Jazyk práce: | angličtina |
| Ústav: | Katedra softwaru a výuky informatiky (32-KSVI) |
| Vedoucí / školitel: | ing. Martin Urban, PhD. |
| Řešitel: | skrytý - zadáno a potvrzeno stud. odd. |
| Datum přihlášení: | 10.01.2006 |
| Datum zadání: | 10.01.2006 |
| Datum a čas obhajoby: | 18.09.2007 00:00 |
| Datum odevzdání elektronické podoby: | 18.09.2007 |
| Datum proběhlé obhajoby: | 18.09.2007 |
| Oponenti: | Tomáš Svoboda |
| Zásady pro vypracování |
| Methods based on matching of regions repeatably detected in a transformation-covariant manner ("distinguished regions") represent the state-of-the-art in visual recognition. Their core assumption is the ability to establish correspondence of regions that have the same 3D pre-image. The main limitation of the methodology is the restricted class of objects is applicable to - they fail for object with uniform surface reflectance.
Objectives: 1. Familiarize yourself with visual recognition methods based on distinguished region correspondences. Critically assess their strengths and limitations. 2. Propose invariant edges-based structure as distinguished regions suitable for objects with uniform surface reflectance. 3. Evaluate the proposed algorithm on a problem of suitable complexity such as recognition of car classification. |
| Seznam odborné literatury |
| [1] Paul Viola, Michael Jones. Robust Real-time Object Detection. In IJCV 2002.
[2] J.Šochman and J.Matas. WaldBoost. Learnig for Time Constrained Sequential Detection. In CVPR 2005. [3] J.Matas, O.Chlum, U.Martin and T.Pajda. Robust Wide Baseline Stereo From Maximally Stable Extremal Regions. In BMVC 2002. [4] S.Obdržálek and J.Matas. Sub-linear indexing for Large Scale Object Recognition. In BMVC 2005. [5] David G.Lowe. Object Recognition from Local Scale-Invariant Features. In ICCV 1999. |
| Předběžná náplň práce |
| Methods based on matching of regions repeatably detected in a transformation-covariant manner ("distinguished regions") represent the state-of-the-art in visual recognition. Their core assumption is the ability to establish correspondence of regions that have the same 3D pre-image. The main limitation of the methodology is the restricted class of objects is applicable to - they fail for object with uniform surface reflectance. Propose invariant edges-based structure as distinguished regions suitable for objects with uniform surface reflectance and evaluate the algorithm on a problem of suitable complexity such as recognition of car classification. |