Abstract: The patent describes the innovation that allows users to virtually try clothes on their 3D-models. The system uses photogrammetry to construct a 3D projection from images followed by modeling and character building. The body measures are derived from 3D constructions. The innovation lets users build their 3D characters from 3D-models that has applications like academic, research, 3D printing, designing decorative items, and digital media. The system provides a RESTful service that allows webmasters to send the cloth dimensions and with user identifier through a web client. The system identifies the user from the identifier and compares the dimensions of the user body and clothes and try to perform a virtual fitting generating the fitting information. Both character and fitting information are sent to the web client that displays the fitting information mapped on the character on a 3D viewer.

Abstract: The innovation is the design an efficient and precise object storage backup, versioning, and point-in-time recovery solution designed for distributed storage with complex architecture like splitting data cluster from metadata cluster and running hundreds of optimization services constantly moving data. The solution works on the principle of periodically snapshotting the object storage data and metadata nodes on to a backup medium. It further adds the architecture of centralized or distributed transaction recording. The patent covers the implementation details of backup and recovery solution for OpenStack Swift, a popular free and open-source object storage system as an example and can be tweaked to work with most architecturally similar storage solutions. The innovation allows reducing CPU and diskspace requirements, backup and recovery latency and minimizing the bandwidth consumption during backup.

Abstract: The innovation is the design of an efficient network-based distributed storage backup, versioning, and point-in-time recover solution for consistent hashing based distributed systems. The solution works on the principle of periodically snapshotting of the system on a backup medium and the centralized transaction recording. The patent covers the implementation details of Cassandra, distributed DBMS based on consistent hashing architecture. The current innovation allows reducing latency and bandwidth consumption during backup and allows fine-grain point-in-time recovery with fast convergence by removing the need to duplicate computing work already done before the crash. The solution is designed to address backup node cost concerns, backup space cost concerns and operation time concerns. The solution has high availability, reliability, and fidelity to continuous back with little running overhead and safely and efficiently recover data during a crash.