The initial three-class result obtained from the model is refined using the k-nearest neighbors algorithm, and, finally, the degraded region is re-labeled to background region. To effectively distinguish relief from the degraded surface region containing relief-like noise, the model is trained using three-class labels consisting of relief, background, and degraded surface region. A random forest model is trained with the local surface features and, thereafter, used to classify 3D surface point as relief or non-relief. The spin images of the reference point and the four relative points are concatenated to provide additional local surface information of the reference point. For each surface point, four points that are apart from the reference point along the direction of the principal curvatures of the point are identified. In this paper, we propose a method to segment relief region from 3D scanned ancient stele by exploiting local surface characteristics. It is challenging to extract reliefs from ancient steles due to their rough surfaces, which contain relief-like noise such as dents and scratches. To view the papers in pdf format, click on the 'PDF Full-text' link, and use the free Adobe Reader to open them.

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The paper aims to explore theoretical mapping of the studied chemical reactivity and identification of factors that limit this chemical transformation. The investigated processes lead to permanently ionized and UV-fluorescent triazolinium salts. This contribution is devoted to the study of the tandem Mannich–electrophilic amination reaction, which involves ‘spring-loaded’ substrates, i.e., pyrido-isoxazolones, and iminium salts derived from secondary amines and formaldehyde. Contrarily, theoretical methods of quantum chemistry are rarely utilized by experimental chemists to plan and track back their work since it is a complex time-consuming endeavor. The chemical systems that allow for quantitative and irreversible transformations are of considerable interest in numerous fields of science and technology.

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