text: The photographer seemed interesting too… I may research him in the future. But it is hard to know when to stop with these little research projects. When working for clients I stick to a pre-arranged budget, when researching for myself it’s very hard to stop! 🙂
  Hi I see you have a photo of Alfred Lewis Annett who is a first cousin x4 removed from my mothers side. Could I please download a copy to put in my family tree that I have on ancestry. com. I will of course acknowledge you. I also have a copy of marriages and banns with his signature and it looks the same,
  Hi, when you said you had a few photo albums were they just of old photos that you put into an album or was there any other of Alfred’s family members in an album? Like you I love old photos’ and I am trying am trying to get as many as I can of the Annett family.
  Old photo albums and random old photos mainly from antique dealers on eBay. But often they are unrelated photos, and unfortunately there are very rarely names with them.
  
  The research team projects that the Ammonium Lauryl Sulfate (ALS) market size will grow from XXX in 2019 to XXX by 2026, at an estimated CAGR of XX. The base year considered for the study is 2019, and the market size is projected from 2020 to 2026.
  Chapter Two: Covid-19 Impact: Global Ammonium Lauryl Sulfate (ALS) Competition by Types, Applications, and Top Regions and Countries
  
  In this thesis, we explore hierarchical map representations that improve autonomous vision-based navigation. Challenged with the task of navigating in an unknown environment, an autonomous agent must perceive the environment around it while making progress towards a goal. While incrementally constructing a map of the world based on visual sensor measurements is a popular choice, we observe that the choice of representation for the map has significant consequences on the performance of navigation. To improve the efficiency and robustness of visual navigation of a computationally limited robotic platform, we introduce three key ideas in the form of applying varying levels of abstraction to the map representation and sensor measurements.
  First, we propose to apply multiple levels of abstraction to the map representation to improve the computational efficiency of on-board pose estimation on a low-cost micro air vehicle (MAV). Second, we show that multiple levels of abstraction can also apply to the sensor measurements, thereby creating multiple pseudo-measurements of lower dimensions, to mitigate the viewpoint dependency of ellipsoid-based object-level simultaneous localization and mapping (SLAM). Finally, we show that adaptively changing the level of abstraction in the map representation and sensor measurements online based on the quality of available measurements improves the accuracy of the constructed map and results in improved robustness and efficiency of autonomous vision-based navigation.