[PENDING] MODELE DE GRAPHE ET MODELE DE LANGUE POUR LA RECONNAISSANCE DE SCENES VISUELLES
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![Figure 2.1: Illustration of Marr’s paradigm [Marr 1982] for a vision system.](https://thumb-eu.123doks.com/thumbv2/1bibliocom/469430.73564/25.892.244.712.212.671/figure-2-illustration-marr-paradigm-marr-1982-vision.webp)
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![Figure 2.3: Example of image segmentation using the Mean-shift algorithm Likewise, the mean-shift segmentation [Comaniciu & Meer 2002] algorithm searchs for a higher density of data distribution in images](https://thumb-eu.123doks.com/thumbv2/1bibliocom/469430.73564/27.892.193.771.563.823/example-segmentation-algorithm-likewise-segmentation-comaniciu-algorithm-distribution.webp)
![Figure 2.4: Saliency regions detected using different methods: Haris-Laplace, DOG and LOG [Mikolajczyk & Schmid 2002].](https://thumb-eu.123doks.com/thumbv2/1bibliocom/469430.73564/28.892.165.667.392.692/figure-saliency-regions-detected-different-methods-laplace-mikolajczyk.webp)
![Figure 3.4: An example of graph representation for human face [Ballard & Brown 1982].](https://thumb-eu.123doks.com/thumbv2/1bibliocom/469430.73564/50.892.129.711.196.503/figure-example-graph-representation-human-face-ballard-brown.webp)
![Figure 3.7: Spatial relationships of region pairs: disjoined, bordering, invaded by, surrounded by, near, far, right, left, above and below [Aksoy 2006].](https://thumb-eu.123doks.com/thumbv2/1bibliocom/469430.73564/52.892.119.706.161.442/figure-spatial-relationships-region-disjoined-bordering-invaded-surrounded.webp)
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