6533b837fe1ef96bd12a1f80
RESEARCH PRODUCT
Manufactured object sub-segmentation based on reflection motion estimation
Eric FauvetQinglin LuAnastasia ZakharovaOlivier Laligantsubject
[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image ProcessingSegmentation-based object categorizationbusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONScale-space segmentationPattern recognition02 engineering and technologyImage segmentation01 natural sciencesScale space010309 opticsImage texture[INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingRegion growingMotion estimation0103 physical sciences0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingComputer visionArtificial intelligenceReflection (computer graphics)businessMathematicsdescription
International audience; In computer vision, reflection is a long-standing problem, it covers image textures, makes original color difficult to recognize, complicates the understanding of the scene. Most of the time, it is considered as “noise”. Many methods are proposed in order to reduce or delete the reflection effects in the image, but generally, the performances are not quite satisfactory. While instead of working on “de-noising”, we propose a method to take advantage of moving reflections that can be used for different computer vision applications. For instance, the segmentation of reflective manufactured objects is presented in this paper. We focus on tracking reflection components and segmenting continuous surfaces of the object by taking motion information into account. In this paper, a comparison with several conventional segmentation methods is proposed to illustrate how our approach significantly improves the segmentation results.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2015-05-18 |