Uncontrolled illumination is one of the most widely researched and most encountered face recognition challenges in recent years. In this study, the authors propose the division of algorithms into two categories: (i) relighting and (ii) unlighting. Relighting methods try to match the probe's illumination conditions using a subset of representative gallery images, while unlighting methods seek to suppress the variations. A total of 64 state-of-the-art methods are summarised and categorised in each of the groups. To make this work concise and easy to follow, they restricted themselves to selected conferences/journals and they limited the number of approaches reviewed. Also, eight past state-of-the-art approaches are used in both identification and verification experiments. However, only significant reported results from all methods were compared and organised in tables. The author's main objective is not to provide an exhaustive analysis of each category, but to present a collection of papers that can be useful in identifying research directions. Results indicate that unlighting methods are a better and a practical solution to address illumination challenges.
This paper presents a modular computer system for manufacturability analysis of robot-made assemblies. In order to say if a specific design can be assembled in a specific robotic cell, designers must answer a number of questions about sequencing, stability, fixturing, grasping, motion planning, and tool accessibility. Although several tools have been developed to compute some of the answers needed by designers,. they have been developed in an isolated fashion making hard to integrate their results. Each tool uses its own object models (which highlight some particular analysis features), sets of constraints, scale factors, and base units (inches, mm, etc) leading to incompatibility problems when designers need to chain them, i.e. to use the output from one tool as the input for another one. Unfortunately, these problems make designers would rather answer their questions by hand, and thus an integrative tool is needed. This paper details the work we have already done in order to build such a tool.
This paper presents a modular computer system for manufacturability analysis of robot-made assemblies.In order to say if a specific design can be assembled in a specific robotic cell, designers must answer a number of questions about sequencing, stability, fixturing, grasping, motion planning and tool accessibility.Although several tools have been developed to compute some of the answers needed by designers, they have been developed in an isolated fashion making hard to integrate their results. Each tool uses its own object models (which highlight some particular analysis features), sets of constraints, scale factors, and base units (inches, mm, etc) leading to incompatibility problems when designers need to chain them, i.e. to use the output from one tool as the input for another one.Unfortunately, these problems make designers would rather answer their questions by hand, and thus an integrative tool is needed. This paper details the work we have already done in order to build such a tool.
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