Depth information is one of the most important factor for the recognition of a digital face image. Range images are ve y usefil, when comparing one face with other faces, because of implicating depth information. As the processing for the whole face produces a lot of calculations and data, face images can be represented in terms of a vector of feature descriptors for a local area. In this papel; depth areas of a 3 dimensional(3D) face image were exiracted by the contour linefi-om some depth value. These were resampled and stored in consecutive location in feature vector using multiple feature method. A comparison beiween two faces was made based on their distance in the feature space, using Euclidian distance. This paper reduced the number of index data in the database and used fewer feature vectors than other methods. Proposed algorithm can be highly recognized for using local depth information and less feature vectors on the face.

This study analyses the contribution of agroforestry to the achievement of SDGs based on the performance of agroforestry and North Korea's Voluntary National Review (VNR). Since the early 2000s, North Korea has promoted agroforestry and worked with the Swiss Agency for Development Cooperation (SDC), the World Agroforestry Centre (ICRAF), and the FAO to expand agroforestry projects. Agroforestry has contributed to the achievement of food security and land restoration in SDG2 and SDG15. The achievement of SDGs from individual agroforestry pilot projects since the early 2000s allows the assessment of agroforestry's contribution to SDGs. North Korea is likely to restore degraded forests by sustainable forest management (SDG15), which emphasises the need for new land cultivation in the VNR to strengthen food security (SDG2). Because agroforestry practices can simultaneously enhance food, nutrition, environmental, and energy security, agroforestry can further contribute to the achievement of other SDGs by discovering models that reflect local characteristics and inducing residents to participate through a strict evaluation of their effectiveness and the use of 'sloping land' management accompanied by the development of cultivation technologies suitable for mixed management with various trees and crops.

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