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In particular there are three areas of novelty : -LRB- i -RRB- we show how a photometric model of image formation can be combined with a statistical model of generic face appearance variation , learnt offline , to generalize in the presence of extreme illumination changes ; -LRB- ii -RRB- we use the smoothness of geodesically local appearance manifold structure and a robust same-identity likelihood to achieve invariance to unseen head poses ; and -LRB- iii -RRB- we introduce an accurate video sequence '' reillumination '' algorithm to achieve robustness to face motion patterns in video .
 used for: photometric model, image formation; conjunction: photometric model, statistical model; used for: statistical model, generic face appearance variation; used for: statistical model, extreme illumination changes; feature of: smoothness, geodesically local appearance manifold structure; conjunction: geodesically local appearance manifold structure, robust same-identity likelihood; evaluate for: robustness, video sequence '' reillumination '' algorithm; feature of: face motion patterns, robustness; part of: face motion patterns, video
Given a phrase that describes the relationship between two words, extract the words and the lexical relationship between them. The output format should be "relation1: word1, word2; relation2: word3, word4". 
Option: conjunction, feature of, hyponym of, used for, part of, compare, evaluate for 
Text: {0} 
Answer:
 used for: photometric model, image formation; conjunction: photometric model, statistical model; used for: statistical model, generic face appearance variation; used for: statistical model, extreme illumination changes; feature of: smoothness, geodesically local appearance manifold structure; conjunction: geodesically local appearance manifold structure, robust same-identity likelihood; evaluate for: robustness, video sequence '' reillumination '' algorithm; feature of: face motion patterns, robustness; part of: face motion patterns, video