Auto Topic: scene

auto_scene | topic

Coverage Score

Mentioned Chunks

Mentioned Docs

Required Dimensions

definitionpros_cons

Covered Dimensions

definitionpros_cons

Keywords

scene

Relations

Source	Type	Target	W
Auto Topic: scene	CO_OCCURS	Propositional Logic	11
Auto Topic: def	CO_OCCURS	Auto Topic: scene	9
Auto Topic: scene	CO_OCCURS	Task Environment	8
Auto Topic: scene	CO_OCCURS	Auto Topic: self	7
Auto Topic: pixels	CO_OCCURS	Auto Topic: scene	6
Auto Topic: row	CO_OCCURS	Auto Topic: scene	6
Auto Topic: rows	CO_OCCURS	Auto Topic: scene	6
Auto Topic: cols	CO_OCCURS	Auto Topic: scene	5
Auto Topic: scene	CO_OCCURS	Constraint Satisfaction Problem	4
Auto Topic: scene	CO_OCCURS	Inference	4
Auto Topic: scene	CO_OCCURS	Problem Formulation	4
Auto Topic: scene	CO_OCCURS	Informed Search	4
Auto Topic: scene	CO_OCCURS	Auto Topic: start_and_goal	4
Auto Topic: scene	CO_OCCURS	Auto Topic: tkinter	4
Auto Topic: disparity	CO_OCCURS	Auto Topic: scene	4
Auto Topic: int	CO_OCCURS	Auto Topic: scene	4
Auto Topic: col	CO_OCCURS	Auto Topic: scene	4
Auto Topic: fill	CO_OCCURS	Auto Topic: scene	4
Auto Topic: scene	CO_OCCURS	Resolution	3
Auto Topic: scene	CO_OCCURS	Logical Agents	3
Auto Topic: scene	CO_OCCURS	Auto Topic: square_size	3
Auto Topic: convolutional	CO_OCCURS	Auto Topic: scene	3
Auto Topic: conference	CO_OCCURS	Auto Topic: scene	3
Auto Topic: international	CO_OCCURS	Auto Topic: scene	3
Auto Topic: len	CO_OCCURS	Auto Topic: scene	3
Auto Topic: master	CO_OCCURS	Auto Topic: scene	3
Auto Topic: pack	CO_OCCURS	Auto Topic: scene	3

Evidence Chunks

Source	Confidence	Mentions	Snippet
assignments CIS5210-Assignments/M3/homework3_grid_navigation_gui.py	0.67	15	t_and_goal if start is not None and goal is not None: path = homework3.find_path(start, goal, self.scene) if path: self.grid.draw_path(path) def clear_paths_click(self): self.grid.clear_paths() def load_scene(scene_path): scene = [] with open(scene_path) as infile: for row, line ...
assignments CIS5210-Assignments/M3/homework3_grid_navigation_gui.py	0.67	10	import sys import tkinter import homework3 class Grid(tkinter.Canvas): def __init__(self, master, scene, start_and_goal): self.rows, self.cols = len(scene), len(scene[0]) self.square_size = min(40, 500 / self.rows, 500 / self.cols) tkinter.Canvas.__init__(self, master, height=sel ...
assignments CIS5210-Assignments/M3/homework3.pdf	0.65	6	... rned. If no optimal solutions exist, or if the start point or goal point lies on an obstacle, you should return the sentinal valueNone. >>> scene = [[False, False, False], ... [False, True , False], ... [False, False, False]] >>> find_path((0, 0), (2, 1), scene) [(0, 0), (1, 0), ...
assignments CIS5210-Assignments/M3/homework3.py	0.63	5	... ############ # Section 2: Grid Navigation ############################################################ def find_path(start, goal, scene): rows = len(scene) if rows == 0: return None cols = len(scene[0]) sr, sc = start gr, gc = goal if sr < 0 or sr >= rows or sc < 0 or sc >= cols: ...
textbook Artificial-Intelligence-A-Modern-Approach-4th-Edition.pdf	0.61	4	... ice immediately became popular in parlors and salons throughout Europe. The essential concept of binocular stereopsis—that two images of a scene taken from slightly different viewpoints carry information sufﬁcient to obtain a three-dimensional re- construction of the scene—was ex ...
assignments CIS5210-Assignments/M3/homework3_grid_navigation_gui.py	0.61	4	... def clear_paths(self): self.delete("path") class GridNavigationGUI(tkinter.Frame): def __init__(self, master, scene): tkinter.Frame.__init__(self, master) self.scene = scene self.start_and_goal = [None, None] self.grid = Grid(self, scene, self.start_and_goal) self.grid.pack(side ...
assignments CIS5210-Assignments/M3/homework3_grid_navigation_gui.py	0.61	4	f, master) self.scene = scene self.start_and_goal = [None, None] self.grid = Grid(self, scene, self.start_and_goal) self.grid.pack(side=tkinter.LEFT, padx=1, pady=1) menu = tkinter.Frame(self) tkinter.Label(menu, text="Left click to specify the start point.").pack( padx=1, pady=1 ...
textbook Artificial-Intelligence-A-Modern-Approach-4th-Edition.pdf	0.59	3	e camera and one or more objects in the scene, the resulting apparent motion in the image is called optical ﬂow. ThisOptical ﬂow describes the direction and speed of motion of features in the image as a result of relative motion between the viewer and the scene. For example, dist ...
textbook Artificial-Intelligence-A-Modern-Approach-4th-Edition.pdf	0.59	3	the scene. To reliably ﬁnd boundaries associated with objects, it is also necessary to incorporate high-level knowledge of the kinds of objects one may expect to encounter in a scene. At this time, a popular strategy is to produce an over- segmentation of an image, where one is g ...
textbook Artificial-Intelligence-A-Modern-Approach-4th-Edition.pdf	0.59	3	ough to match points. For example, in a scene of trafﬁc on a street, there might be only one green light visible in two images taken of the scene; we can then hypothesize that these correspond to each other. The geometry of multiple camera views is very well understood (but sadly ...
textbook Artificial-Intelligence-A-Modern-Approach-4th-Edition.pdf	0.59	3	... centers of projec- tion of the two eyes are distance b apart, and the optical axes intersect at the ﬁxation point P0. The point P in the scene projects to points PL and PR in the two eyes. In angular terms, the disparity between these isδθ (the diagram shows two angles ofδθ/2). ...
textbook Artificial-Intelligence-A-Modern-Approach-4th-Edition.pdf	0.59	3	... nt motion in the image, and called optical ﬂow. This is a source of information for both the movement of the camera and the geometry of the scene. To understand this, we state (without proof) an equation that relates the optical ﬂow to the viewer’s translational velocity T and th ...
textbook Artificial-Intelligence-A-Modern-Approach-4th-Edition.pdf	0.59	3	... Section 27.3.2 stated that texture is a repetitive pattern of texels. Although the distribution of texels may be uniform on objects in the scene—for example, pebbles on a beach—it may not be uniform in image— the farther pebbles appear smaller than the nearer pebbles. As another ...
assignments CIS5210-Assignments/M3/homework3_grid_navigation_gui.py	0.59	3	1, y1, width=1, outline="black", fill="gray50" if scene[row][col] else "white") def transform(self, row, col): x = self.square_size * (col + 0.5) y = self.square_size * (row + 0.5) return (x, y) def inverse_transform(self, event): row = int(event.y / self.square_size) col = int(e ...
textbook Artificial-Intelligence-A-Modern-Approach-4th-Edition.pdf	0.57	2	... tracking of multiple targets with false alarms, detection failure, and entry and exit of aircraft. The rate at which new aircraft enter the scene is λa, while the probability per time step that an aircraft exits the scene isαe. False alarm blips (i.e., ones not produced by an air ...
textbook Artificial-Intelligence-A-Modern-Approach-4th-Edition.pdf	0.57	2	... ructure, but a single number, such as a class ID, does not. Transforming a sentence from English to French or converting a photo of a night scene into an equivalent photo taken during the daytime are both examples of translation tasks. Supervised translation consists of gathering ...
textbook Artificial-Intelligence-A-Modern-Approach-4th-Edition.pdf	0.57	2	... Kinect is a popular low-cost sensor that combines a camera and a structured light projector, which projects a pattern of grid lines onto a scene. The camera Structured light sees how the grid lines bend, giving the robot information about the shape of the objects in the scene. If ...
textbook Artificial-Intelligence-A-Modern-Approach-4th-Edition.pdf	0.57	2	... obile robot is shown a demonstration that stays on the dirt road. Middle: The robot infers the desired cost function, and uses it in a new scene, knowing to put lower cost on the road there. Right: The robot plans a path for the new scene that also stays on the road, reproducing ...