Morphological processing of stereoscopic image superimpositions for disparity map estimation

For this research it is proposed a new architecture based on convolutional networks, for the training of the network we will use the stereo images from the Middlebury database [3]

Использование второго варианта параллельного алгоритма (рисунок 4) позволило достичь ускорения в 17 раз по сравнению с по- следовательным алгоритмом

Delvaux, M-A 2002, 'La représentation en justice de la société commerciale dans le cadre de la loi du 4 mai 1999 sur la responsabilité pénale des personnes morales, note sous

Antibody response of women with negative or doubtful immunity to rubella 15 years after vaccina- tion on challenge with Cendehill vaccine

Keywords: Stereo, hierarchical segmentation, robust regression model, waterfall, disparity map, densification..

Before parent selection, the user given fitness values are weighted with a sharing value to maintain a minimum of diversity inside the small population.. This sharing value

In this work, the disparity map refinement will be performed by segmenting the reference image of the stereo system with a combination of filters and the Watershed transform to fit

Figure 2: Example of close-up superpixel segmentation on Tsukuba stereo pair, from left to right: Reference image, ground truth disparity map, superpixel graph on disparity map