PDF-2Rastegari,Farhadi,Forsythtonaturalmodelsofcategories.Laterintheproces

4RastegariFarhadiForsyth Fig1EachbitinthecodecanbethoughtofasahyperplaneinthefeaturespaceWelearnarrangementsofhyperplanesinawaythattheresultingbitcodesarediscriminativeandalsoallhyperplanescanber. edu Abstract We propose to shift the goal of recognition from naming to describing Doing so allows us not only to name famil iar objects but also to report unusual aspects of a famil iar object spotty dog not just dog to say something about unfamilia of Texas at Austin Univ of Washington Carnegie Mellon University zhangp parikh vtedu jiulingutexasedu alicsuwedu hebertricmuedu Abstract Computer vision systems today fail frequently They also fail abruptly without warning or explanation Alleviating 4Rastegari,Farhadi,Forsyth Fig.1.Eachbitinthecodecanbethoughtofasahyperplaneinthefeaturespace.Welearnarrangementsofhyperplanesinawaythattheresultingbitcodesarediscriminativeandalsoallhyperplanescanber Several slides from Larry . Zitnick. and Steve Seitz. Why do we perceive depth?. What do humans use as depth cues?. Convergence . When watching an object close to us, our eyes point slightly inward. This difference in the direction of the eyes is called convergence. This depth cue is effective only on short distances (less than 10 meters). . Several slides from Larry . Zitnick. and Steve Seitz. Why do we perceive depth?. What do humans use as depth cues?. Convergence . When watching an object close to us, our eyes point slightly inward. This difference in the direction of the eyes is called convergence. This depth cue is effective only on short distances (less than 10 meters). .