Graduate Need help understanding Lambda Twist method for camera localization?

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The discussion centers on the Lambda Twist method for camera localization, specifically its application to the P-n-P problem. The original poster seeks resources to better understand this state-of-the-art technique, expressing difficulty in grasping its concepts. Respondents suggest that the Wikipedia article provides a comprehensive overview but note the need for more specific guidance on the user's challenges. The conversation highlights the complexity of the Lambda Twist method and the importance of identifying specific areas of confusion. Overall, the thread emphasizes the need for targeted resources to aid understanding of advanced camera localization methods.
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Lambda Twist is one of the state-of-the-art methods of P-n-P problem.
I have the following problem. P-n-p problem is often referred to when talking about camera localization(https://en.wikipedia.org/wiki/Perspective-n-Point). It’s a mathematical problem also a computer science problem. Lambda Twist is one of the state-of-the-art methods(http://openaccess.thecvf.com/conten...l_Persson_Lambda_Twist_An_ECCV_2018_paper.pdf). May I ask if there’s some good articles that can help me understand Lambda Twist method? It’s a little bit hard for me and now I'm stuck with this problem.
Any ideas? Thanx in advance.
 
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I'm sure you have searched the web for it. If it is also state of the art as you said, then it's likely that anyone can't do any better than this. Also we don't know where you're stuck and why. I find the Wikipedia article quite elaborated.
 

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