InitRech 2015/2016, sujet 5 - Historique des versions

Vtaffin : /* Summary */

2016-06-18T18:54:15Z

‎Summary

Vtaffin : /* Summary */

2016-06-18T18:53:28Z

‎Summary

Vtaffin : /* Applications */

2016-06-18T18:52:45Z

‎Applications

Vtaffin : /* Applications */

2016-06-18T18:50:35Z

‎Applications

Vtaffin : /* Summary */

2016-06-18T18:50:09Z

‎Summary

Vtaffin : /* Summary */

2016-06-18T18:49:21Z

‎Summary

Vtaffin : Page créée avec « = Summary = = Applications = »

2016-06-06T08:41:22Z

Page créée avec « = Summary = = Applications = »

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= Summary =

= Applications =

@@ Ligne 4 : / Ligne 4 : @@
 this paper show a newer method in real time to calculate a 3D deformable shape with a monocular video sequence.<br/>
 Firstly authors explain what is the context and what did we wonder to resolve this subject. Next, they describe algorithms already use in 3D recovery for non rigid shape and their assets of this 4 four technologies :
-** Mechanical models
-** Mass-spring systems
+* Mechanical models
-** Learned non-rigid models
+* Mass-spring systems
-** Parametric models
+* Learned non-rigid models
 In addition historic of previous research and their contribution are given in term of efficiency to compute image processing and to recover a 3D elastic shape with one point of view.<br/>
 After many assumption they succeed to minimize in a non-linear problem for non-rigid shape, result this equation:

@@ Ligne 1 : / Ligne 1 : @@
 = Summary =
-With the technology such as augmented reality, researcher are confronted against new problem like image processing, facial recognition system and 3D shape recovery.
+With the technology such as augmented reality, researcher are confronted against new problem like image processing, facial recognition system and 3D shape recovery.<br/>
-this paper show a newer method in real time to calculate a 3D deformable shape with a monocular video sequence.
+this paper show a newer method in real time to calculate a 3D deformable shape with a monocular video sequence.<br/>
 Firstly authors explain what is the context and what did we wonder to resolve this subject. Next, they describe algorithms already use in 3D recovery for non rigid shape and their assets of this 4 four technologies :
 ** Mechanical models
@@ Ligne 8 : / Ligne 8 : @@
 ** Learned non-rigid models
 ** Parametric models
-In addition historic of previous research and their contribution are given in term of efficiency to compute image processing and to recover a 3D elastic shape with one point of view.
+In addition historic of previous research and their contribution are given in term of efficiency to compute image processing and to recover a 3D elastic shape with one point of view.<br/>
 After many assumption they succeed to minimize in a non-linear problem for non-rigid shape, result this equation:
 [[Fichier:Matriceformule.png|200px|thumb|center|]]
-Knowing that, m is a point of our image m = (x,y), P* the matrix projection of the view and m* is the projection of the point (x*,y*,z*) in our image.
+Knowing that, m is a point of our image m = (x,y), P* the matrix projection of the view and m* is the projection of the point (x*,y*,z*) in our image.<br/>
 Thanks to energy equation to characterize the 3D deformation:
 [[Fichier:Energy.png|200px|thumb|center|]]
-They resolve this problem as an energy minimization problem accounting for a non-linear elastic model constrains to a static view with the knowledge of his matrice projection. To continue they use tool like Gauss Seidel and Euler to solve this problem on compute.
+They resolve this problem as an energy minimization problem accounting for a non-linear elastic model constrains to a static view with the knowledge of his matrice projection.<br/> To continue they use tool like Gauss Seidel and Euler to solve this problem on compute.
 In the last part they describe tests and compare to algorithm already existing and what is the process to solve self-occlusion handling.

@@ Ligne 27 : / Ligne 27 : @@
 The purpose of this paper, is to help medecin in many analysis of surgery, to isolate the part needed before processing on it.
-Moreover in military task, to reshape in full body humanoid behind a rock or whatever obstacle.
+Moreover in military task, to reshape in full body humanoid behind a rock or whatever obstacle.<br/>
 In aeronautics or space advanced to pilote automatically, take off and landing with a camera, an artificial intelligence to drive craft or whatever.
-Another way is, with a 3D modeler, to create a realistic environment and analyse all objects in scene to premeditate movements and deformations, with the physical characteristic of the 3D modeling, that can give us probability of material resistance.
+Another way is, with a 3D modeler, to create a realistic environment and analyse all objects in scene to premeditate movements and deformations, with the physical characteristic of the 3D modeling, that can give us probability of material resistance.<br/>
-In gaming, that will give us an another way to interact with people, we can imagine game uses this technology with oculus rift with networking that could be awesome.
+In gaming, that will give us an another way to interact with people, we can imagine game uses this technology with oculus rift with networking that could be awesome.<br/>
-To conclude, i believe in the dream of Asimov robot’s, and reality augmented analysis is a next step forward.
+To conclude, i believe in the dream of Asimov robot’s, and reality augmented analysis is a next step forward.<br/>

← Version précédente		Version du 18 juin 2016 à 18:50
Ligne 24 :		Ligne 24 :

	= Applications =		= Applications =
		+
		+
		+	The purpose of this paper, is to help medecin in many analysis of surgery, to isolate the part needed before processing on it.
		+	Moreover in military task, to reshape in full body humanoid behind a rock or whatever obstacle.
		+	In aeronautics or space advanced to pilote automatically, take off and landing with a camera, an artificial intelligence to drive craft or whatever.
		+	Another way is, with a 3D modeler, to create a realistic environment and analyse all objects in scene to premeditate movements and deformations, with the physical characteristic of the 3D modeling, that can give us probability of material resistance.
		+
		+	In gaming, that will give us an another way to interact with people, we can imagine game uses this technology with oculus rift with networking that could be awesome.
		+	To conclude, i believe in the dream of Asimov robot’s, and reality augmented analysis is a next step forward.

@@ Ligne 16 : / Ligne 16 : @@
 They resolve this problem as an energy minimization problem accounting for a non-linear elastic model constrains to a static view with the knowledge of his matrice projection. To continue they use tool like Gauss Seidel and Euler to solve this problem on compute.
 In the last part they describe tests and compare to algorithm already existing and what is the process to solve self-occlusion handling.
 = Applications =

← Version précédente		Version du 18 juin 2016 à 18:49
Ligne 1 :		Ligne 1 :
	= Summary =		= Summary =
		+
		+	With the technology such as augmented reality, researcher are confronted against new problem like image processing, facial recognition system and 3D shape recovery.
		+	this paper show a newer method in real time to calculate a 3D deformable shape with a monocular video sequence.
		+	Firstly authors explain what is the context and what did we wonder to resolve this subject. Next, they describe algorithms already use in 3D recovery for non rigid shape and their assets of this 4 four technologies :
		+	** Mechanical models
		+	** Mass-spring systems
		+	** Learned non-rigid models
		+	** Parametric models
		+	In addition historic of previous research and their contribution are given in term of efficiency to compute image processing and to recover a 3D elastic shape with one point of view.
		+	After many assumption they succeed to minimize in a non-linear problem for non-rigid shape, result this equation:
		+	[[Fichier:Matriceformule.png\|200px\|thumb\|center\|]]
		+	Knowing that, m is a point of our image m = (x,y), P* the matrix projection of the view and m* is the projection of the point (x,y,z*) in our image.
		+	Thanks to energy equation to characterize the 3D deformation:
		+	[[Fichier:Energy.png\|200px\|thumb\|center\|]]
		+	They resolve this problem as an energy minimization problem accounting for a non-linear elastic model constrains to a static view with the knowledge of his matrice projection. To continue they use tool like Gauss Seidel and Euler to solve this problem on compute.
		+	In the last part they describe tests and compare to algorithm already existing and what is the process to solve self-occlusion handling.

	= Applications =		= Applications =