diff --git a/docs/slides.md b/docs/slides.md
index af2d4b8..b600eba 100644
--- a/docs/slides.md
+++ b/docs/slides.md
@@ -53,7 +53,7 @@ $\mathcal{V}_t = \{ \textbf{Q} \in \mathbb{R}^3, u(\textbf{Q}) = t \}, \quad t\i
 
 <img src="figs/lvl7_2D.png" class="m-auto h-110"/>
 
-<span class="absolute bottom-0 font-extralight mb-1 mr-2 right-0 text-xs">Variational principles, surface evolution, PDEs, level set methods, and the stereo problem - Olivier Faugeras, Renaud Keriven, 1998</span>
+<a href="https://hal.inria.fr/inria-00073673/document" class="absolute bottom-0 font-extralight mb-1 mr-2 right-0 text-xs">Variational principles, surface evolution, PDEs, level set methods, and the stereo problem - Olivier Faugeras, Renaud Keriven, 1998</a>
 
 ---
 
@@ -67,18 +67,34 @@ $\mathcal{V}_t = \{ \textbf{Q} \in \mathbb{R}^3, u(\textbf{Q}) = t \}, \quad t\i
 
 ## Mise à jour du volume
 
-consensus blabla
+- Sélection des voxels sur la bordure du "marbre"
+- Vérification de la visibilité du voxel par toutes les caméras
+- Récupération des couleurs / niveaux de gris visibles par les caméras
+- Consensus sur la couleur / niveau de gris du voxel étudié
+- Remplissage si consensus, creusage sinon
 
 ---
 
 ## Initialisation du volume
 
-ones ou alors shape from silouhette
+- Définition d'une taille limite:
+  - $x \in [-1, 1]$
+  - $y \in [-1, 1]$
+  - $z \in [-1, 1]$
+- Définition d'une résolution (un pas): $5.10^{-2}$
+- Initialisation des valeurs du marbre:
+  - Uniforme (`np.zeros` ou `np.ones`)
+  - Shape From Silouhette (BE4)
+
 
 ---
 
 ## Exemple Shape from Silouhette
 
+<img src="https://www.researchgate.net/profile/Silvio-Savarese/publication/221625880/figure/fig1/AS:652956261158913@1532688312594/Shape-from-Silhouettes-The-silhouette-and-camera-location-for-each-view-forms-a-cone.png" class="m-auto mt-2 h-110">
+
+<a href="https://ieeexplore.ieee.org/document/1024034" class="absolute bottom-0 font-extralight mb-1 mr-2 right-0 text-xs">Implementation of a Shadow Carving System for Shape Capture, doi: 10.1109/TDPVT.2002.1024034</a>
+
 ---
 
 ## Raytracing
diff --git a/src/draw.py b/src/draw.py
index d3cdcab..4111290 100644
--- a/src/draw.py
+++ b/src/draw.py
@@ -19,7 +19,11 @@ Z *= np.random.rand(*Z.shape)
 
 for i, x in enumerate(x_vals):
     for j, y in enumerate(y_vals):
-        color = f"#{hex(int(Z[j, i] * 255))[2:]}{hex(int(Z[j, i] * 255))[2:]}{hex(int(Z[j, i] * 255))[2:]}"
+        color = f"{hex(int(Z[j, i] * 255))[2:]}"
+        if color == "0":
+            color = "#f00"
+        else:
+            color = "#" + 3 * color
         plt.fill([x, x + 0.1, x + 0.1, x], [y, y, y + 0.1, y + 0.1], color=color)
 
 
@@ -44,16 +48,43 @@ for i in range(nb_cams):
     plt.plot(x[0, :], x[1, :], "r-")
 
 
-# draw 1d image of the scene for each camera
-for i in range(nb_cams):
-    # sort pixels by distance to camera
-    cam_pose = cam_poses[i]
-    pixels_dist = np.linalg.norm(np.array([X.flatten(), Y.flatten()]).T - cam_pose, axis=1)
-    X_ = X.flatten()[np.argsort(pixels_dist)]
-    Y_ = Y.flatten()[np.argsort(pixels_dist)]
-
-
 plt.xlim(-7, 7)
 plt.ylim(-7, 7)
 plt.axis("equal")
+
+
+# draw 1d image of the scene for each camera
+for i in range(2):
+    plt.figure()
+    # sort pixels by distance to camera
+    cam_pose = cam_poses[i]
+    pixels_dist = np.linalg.norm(np.array([X.flatten(), Y.flatten()]).T - cam_pose, axis=1)
+    pixels_sort = np.argsort(pixels_dist)[::-1]
+
+    px = np.array([[-5, -5, 1], [5, -5, 1], [5, 5, 1], [-5, 5, 1]]).T
+    px = np.linalg.inv(cam2world_projs[i]) @ px
+    px /= px[1, :]
+
+    x0 = px[1, :].min()
+    x1 = px[1, :].max()
+
+    plt.fill([x0, x1, x1, x0], [0, 0, 1, 1], color="r")
+
+    for j in pixels_sort:
+        x, y = X.flatten()[j], Y.flatten()[j]
+        color = f"{hex(int(Z.flatten()[j] * 255))[2:]}"
+        if color == "0":
+            continue
+        color = "#" + 3 * color
+
+        px = np.array([[x, y, 1], [x + 0.1, y, 1], [x + 0.1, y + 0.1, 1], [x, y + 0.1, 1]]).T
+        px = np.linalg.inv(cam2world_projs[i]) @ px
+        px /= px[1, :]
+
+        x0 = px[1, :].min()
+        x1 = px[1, :].max()
+
+        plt.fill([x0, x1, x1, x0], [0, 0, 1, 1], color=color)
+    plt.axis("equal")
+
 plt.show()