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  • how to define a field of view for the entire map for shadow?

    - by Mehdi Bugnard
    I recently added "Shadow Mapping" in my XNA games to include shadows. I followed the nice and famous tutorial from "Riemers" : http://www.riemers.net/eng/Tutorials/XNA/Csharp/Series3/Shadow_map.php . This code work nice and I can see my source of light and shadow. But the problem is that my light source does not match the field of view that I created. I want the light covers the entire map of my game. I don't know why , but the light only affect 2-3 cubes of my map. ScreenShot: (the emission of light illuminates only 2-3 blocks and not the full map) Here is my code i create the fieldOfView for LightviewProjection Matrix: Vector3 lightDir = new Vector3(10, 52, 10); lightPos = new Vector3(10, 52, 10); Matrix lightsView = Matrix.CreateLookAt(lightPos, new Vector3(105, 50, 105), new Vector3(0, 1, 0)); Matrix lightsProjection = Matrix.CreatePerspectiveFieldOfView(MathHelper.PiOver2, 1f, 20f, 1000f); lightsViewProjectionMatrix = lightsView * lightsProjection; As you can see , my nearPlane and FarPlane are set to 20f and 100f . So i don't know why the light stop after 2 cubes. it's should be bigger Here is set the value to my custom effect HLSL in the shader file /* SHADOW VALUE */ effectWorld.Parameters["LightDirection"].SetValue(lightDir); effectWorld.Parameters["xLightsWorldViewProjection"].SetValue(Matrix.Identity * .lightsViewProjectionMatrix); effectWorld.Parameters["xWorldViewProjection"].SetValue(Matrix.Identity * arcadia.camera.View * arcadia.camera.Projection); effectWorld.Parameters["xLightPower"].SetValue(1f); effectWorld.Parameters["xAmbient"].SetValue(0.3f); Here is my custom HLSL shader effect file "*.fx" // This sample uses a simple Lambert lighting model. float3 LightDirection = normalize(float3(-1, -1, -1)); float3 DiffuseLight = 1.25; float3 AmbientLight = 0.25; uniform const float3 DiffuseColor = 1; uniform const float Alpha = 1; uniform const float3 EmissiveColor = 0; uniform const float3 SpecularColor = 1; uniform const float SpecularPower = 16; uniform const float3 EyePosition; // FOG attribut uniform const float FogEnabled ; uniform const float FogStart ; uniform const float FogEnd ; uniform const float3 FogColor ; float3 cameraPos : CAMERAPOS; texture Texture; sampler Sampler = sampler_state { Texture = (Texture); magfilter = LINEAR; minfilter = LINEAR; mipfilter = LINEAR; AddressU = mirror; AddressV = mirror; }; texture xShadowMap; sampler ShadowMapSampler = sampler_state { Texture = <xShadowMap>; magfilter = LINEAR; minfilter = LINEAR; mipfilter = LINEAR; AddressU = clamp; AddressV = clamp; }; /* *************** */ /* SHADOW MAP CODE */ /* *************** */ struct SMapVertexToPixel { float4 Position : POSITION; float4 Position2D : TEXCOORD0; }; struct SMapPixelToFrame { float4 Color : COLOR0; }; struct SSceneVertexToPixel { float4 Position : POSITION; float4 Pos2DAsSeenByLight : TEXCOORD0; float2 TexCoords : TEXCOORD1; float3 Normal : TEXCOORD2; float4 Position3D : TEXCOORD3; }; struct SScenePixelToFrame { float4 Color : COLOR0; }; float DotProduct(float3 lightPos, float3 pos3D, float3 normal) { float3 lightDir = normalize(pos3D - lightPos); return dot(-lightDir, normal); } SSceneVertexToPixel ShadowedSceneVertexShader(float4 inPos : POSITION, float2 inTexCoords : TEXCOORD0, float3 inNormal : NORMAL) { SSceneVertexToPixel Output = (SSceneVertexToPixel)0; Output.Position = mul(inPos, xWorldViewProjection); Output.Pos2DAsSeenByLight = mul(inPos, xLightsWorldViewProjection); Output.Normal = normalize(mul(inNormal, (float3x3)World)); Output.Position3D = mul(inPos, World); Output.TexCoords = inTexCoords; return Output; } SScenePixelToFrame ShadowedScenePixelShader(SSceneVertexToPixel PSIn) { SScenePixelToFrame Output = (SScenePixelToFrame)0; float2 ProjectedTexCoords; ProjectedTexCoords[0] = PSIn.Pos2DAsSeenByLight.x / PSIn.Pos2DAsSeenByLight.w / 2.0f + 0.5f; ProjectedTexCoords[1] = -PSIn.Pos2DAsSeenByLight.y / PSIn.Pos2DAsSeenByLight.w / 2.0f + 0.5f; float diffuseLightingFactor = 0; if ((saturate(ProjectedTexCoords).x == ProjectedTexCoords.x) && (saturate(ProjectedTexCoords).y == ProjectedTexCoords.y)) { float depthStoredInShadowMap = tex2D(ShadowMapSampler, ProjectedTexCoords).r; float realDistance = PSIn.Pos2DAsSeenByLight.z / PSIn.Pos2DAsSeenByLight.w; if ((realDistance - 1.0f / 100.0f) <= depthStoredInShadowMap) { diffuseLightingFactor = DotProduct(xLightPos, PSIn.Position3D, PSIn.Normal); diffuseLightingFactor = saturate(diffuseLightingFactor); diffuseLightingFactor *= xLightPower; } } float4 baseColor = tex2D(Sampler, PSIn.TexCoords); Output.Color = baseColor*(diffuseLightingFactor + xAmbient); return Output; } SMapVertexToPixel ShadowMapVertexShader(float4 inPos : POSITION) { SMapVertexToPixel Output = (SMapVertexToPixel)0; Output.Position = mul(inPos, xLightsWorldViewProjection); Output.Position2D = Output.Position; return Output; } SMapPixelToFrame ShadowMapPixelShader(SMapVertexToPixel PSIn) { SMapPixelToFrame Output = (SMapPixelToFrame)0; Output.Color = PSIn.Position2D.z / PSIn.Position2D.w; return Output; } /* ******************* */ /* END SHADOW MAP CODE */ /* ******************* */ / For rendering without instancing. technique ShadowMap { pass Pass0 { VertexShader = compile vs_2_0 ShadowMapVertexShader(); PixelShader = compile ps_2_0 ShadowMapPixelShader(); } } technique ShadowedScene { /* pass Pass0 { VertexShader = compile vs_2_0 VSBasicTx(); PixelShader = compile ps_2_0 PSBasicTx(); } */ pass Pass1 { VertexShader = compile vs_2_0 ShadowedSceneVertexShader(); PixelShader = compile ps_2_0 ShadowedScenePixelShader(); } } technique SimpleFog { pass Pass0 { VertexShader = compile vs_2_0 VSBasicTx(); PixelShader = compile ps_2_0 PSBasicTx(); } } I edited my fx file , for show you only information and functions about the shadow ;-)

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  • I need advice on laptop purchase for university [closed]

    - by Systemic33
    I'm currently in University studying Computer Science/IT/Information Technology. And this first year i've managed to do with the laptop I had; an ASUS Eee PC 1000H with a 10.1" screen. But this is getting way too underpowered and small for programming more than just quick programming introduction excercises. So I'm looking to buy a more suitable laptop. It's not supposed to be a desktop replacement though, since I've got a pretty good desktop already with a 24" monitor. So the kinda laptop I want to buy is one suited for university. If this bears any significance, I'm working in Java atm, but I will likely work with lots of other things incl. web development. I'm looking to spend about $1700 plus/minus. And it should be powerful/big enough for working on programming projects as well as the usual university stuff like MATLAB, Maple, etc out "in the field", and sometimes for maybe a week when visiting my parents. What I'm looking at right now is the ASUS Zenbook UX31A with the 1920 x 1080 resolution on 13.3" IPS display. But I'm kinda nervous that this will be too petite for programming. In essence i'm looking for a powerfull computer, that has good enough battery, and looks good. I would love suggestions or any type of feedback, either with maybe a better choice, or input on how its like programming on 13" laptops. Very much thanks in advance for anyone who even went through all that! PS. I don't want a mac, or my inner karma would commit Seppuku xD But experiences from working on the 13" Macbook Air would kinda be equivalent to the Zenbook i'm considering, so I would love to hear that. tl;dr The quick brown fox jumps over the lazy dog ;)

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  • OTN's Virtual Developer Day: Deep dive on WebLogic and Java EE 6

    - by ruma.sanyal
    Come join us and learn how Oracle WebLogic Server enables a whole new level of productivity for enterprise developers. Also hear the latest on Java EE 6 and the programming tenets that have made it a true platform breakthrough, with new programming paradigms, persistence strategies, and more: Convention over configuration - minimal XML Leaner and meaner API - and one that is an open standard POJO model - managed beans for testable components Annotation-based programming model - decorate and inject Reduce or eliminate need for deployment descriptors Traditional API for advanced users How to participate: register online, and we'll email you the details.

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  • What are the benefits of PHP?

    - by acme
    Everybody knows that people that have prejudices against certain programming languages. Especially PHP seems to suffer from problems of its past and some other things (like loose types) and is often called a non-serious programming language that should not be used for professional applications. In that special case PHP: How do you argue using PHP as your chosen programming language for web applications? What are the benefits, where is PHP better than ColdFusion, Java, etc.?

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  • "Never to forget information" for programmers [closed]

    - by Milan
    Hi there! I'm new to programming and I would like to make a list of most important pieces of knowledge of programming and CS that would be useful no matter what specific programming language I would use in the future. For instance, if I would make this kind of list for Law studies, there would be stuff like Articles of Constitution etc. Those pieces of information I would put in Anki, and repeat it from time to time. Speaking in terms of CS and programming I mean on the most useful: mathematical theorems algorithms (examples of elegant solutions, comparison of two solutions etc.) pieces of code anything else that is vital (and very handy) to have in mind Do you think that making this kind of knowledge list makes sense?

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  • Game Institute Math Courses

    - by W3Geek
    I'm 21 years old and I suck at math, I mean really bad. I don't have the necessary logic to apply it towards programming. I would like to learn the math and logic of applying it. I found Game Institute (http://www.gameinstitute.com) awhile back and heard a lot of praise about them. Are there Math courses any good? Thank you. Edit: My high school was terrible and did not prepare me for any math. I am fairly decent at programming, I just don't have the logic to apply any mathematics to programming, as an example I don't understand the algorithm of finding the size of a user's screen. Yes I have heard of KhanAcademy (http://www.khanacademy.org/) and I have completed a lot of maths on his website but I still don't have the logic to apply any of it to programming.

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  • What Precalculus knowledge is required before learning Discrete Math Computer Science topics?

    - by Ein Doofus
    Below I've listed the chapters from a Precalculus book as well as the author recommended Computer Science chapters from a Discrete Mathematics book. Although these chapters are from two specific books on these subjects I believe the topics are generally the same between any Precalc or Discrete Math book. What Precalculus topics should one know before starting these Discrete Math Computer Science topics?: Discrete Mathematics CS Chapters 1.1 Propositional Logic 1.2 Propositional Equivalences 1.3 Predicates and Quantifiers 1.4 Nested Quantifiers 1.5 Rules of Inference 1.6 Introduction to Proofs 1.7 Proof Methods and Strategy 2.1 Sets 2.2 Set Operations 2.3 Functions 2.4 Sequences and Summations 3.1 Algorithms 3.2 The Growths of Functions 3.3 Complexity of Algorithms 3.4 The Integers and Division 3.5 Primes and Greatest Common Divisors 3.6 Integers and Algorithms 3.8 Matrices 4.1 Mathematical Induction 4.2 Strong Induction and Well-Ordering 4.3 Recursive Definitions and Structural Induction 4.4 Recursive Algorithms 4.5 Program Correctness 5.1 The Basics of Counting 5.2 The Pigeonhole Principle 5.3 Permutations and Combinations 5.6 Generating Permutations and Combinations 6.1 An Introduction to Discrete Probability 6.4 Expected Value and Variance 7.1 Recurrence Relations 7.3 Divide-and-Conquer Algorithms and Recurrence Relations 7.5 Inclusion-Exclusion 8.1 Relations and Their Properties 8.2 n-ary Relations and Their Applications 8.3 Representing Relations 8.5 Equivalence Relations 9.1 Graphs and Graph Models 9.2 Graph Terminology and Special Types of Graphs 9.3 Representing Graphs and Graph Isomorphism 9.4 Connectivity 9.5 Euler and Hamilton Ptahs 10.1 Introduction to Trees 10.2 Application of Trees 10.3 Tree Traversal 11.1 Boolean Functions 11.2 Representing Boolean Functions 11.3 Logic Gates 11.4 Minimization of Circuits 12.1 Language and Grammars 12.2 Finite-State Machines with Output 12.3 Finite-State Machines with No Output 12.4 Language Recognition 12.5 Turing Machines Precalculus Chapters R.1 The Real-Number System R.2 Integer Exponents, Scientific Notation, and Order of Operations R.3 Addition, Subtraction, and Multiplication of Polynomials R.4 Factoring R.5 Rational Expressions R.6 Radical Notation and Rational Exponents R.7 The Basics of Equation Solving 1.1 Functions, Graphs, Graphers 1.2 Linear Functions, Slope, and Applications 1.3 Modeling: Data Analysis, Curve Fitting, and Linear Regression 1.4 More on Functions 1.5 Symmetry and Transformations 1.6 Variation and Applications 1.7 Distance, Midpoints, and Circles 2.1 Zeros of Linear Functions and Models 2.2 The Complex Numbers 2.3 Zeros of Quadratic Functions and Models 2.4 Analyzing Graphs of Quadratic Functions 2.5 Modeling: Data Analysis, Curve Fitting, and Quadratic Regression 2.6 Zeros and More Equation Solving 2.7 Solving Inequalities 3.1 Polynomial Functions and Modeling 3.2 Polynomial Division; The Remainder and Factor Theorems 3.3 Theorems about Zeros of Polynomial Functions 3.4 Rational Functions 3.5 Polynomial and Rational Inequalities 4.1 Composite and Inverse Functions 4.2 Exponential Functions and Graphs 4.3 Logarithmic Functions and Graphs 4.4 Properties of Logarithmic Functions 4.5 Solving Exponential and Logarithmic Equations 4.6 Applications and Models: Growth and Decay 5.1 Systems of Equations in Two Variables 5.2 System of Equations in Three Variables 5.3 Matrices and Systems of Equations 5.4 Matrix Operations 5.5 Inverses of Matrices 5.6 System of Inequalities and Linear Programming 5.7 Partial Fractions 6.1 The Parabola 6.2 The Circle and Ellipse 6.3 The Hyperbola 6.4 Nonlinear Systems of Equations

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  • Learn Many Languages

    - by Jeff Foster
    My previous blog, Deliberate Practice, discussed the need for developers to “sharpen their pencil” continually, by setting aside time to learn how to tackle problems in different ways. However, the Sapir-Whorf hypothesis, a contested and somewhat-controversial concept from language theory, seems to hold reasonably true when applied to programming languages. It states that: “The structure of a language affects the ways in which its speakers conceptualize their world.” If you’re constrained by a single programming language, the one that dominates your day job, then you only have the tools of that language at your disposal to think about and solve a problem. For example, if you’ve only ever worked with Java, you would never think of passing a function to a method. A good developer needs to learn many languages. You may never deploy them in production, you may never ship code with them, but by learning a new language, you’ll have new ideas that will transfer to your current “day-job” language. With the abundant choices in programming languages, how does one choose which to learn? Alan Perlis sums it up best. “A language that doesn‘t affect the way you think about programming is not worth knowing“ With that in mind, here’s a selection of languages that I think are worth learning and that have certainly changed the way I think about tackling programming problems. Clojure Clojure is a Lisp-based language running on the Java Virtual Machine. The unique property of Lisp is homoiconicity, which means that a Lisp program is a Lisp data structure, and vice-versa. Since we can treat Lisp programs as Lisp data structures, we can write our code generation in the same style as our code. This gives Lisp a uniquely powerful macro system, and makes it ideal for implementing domain specific languages. Clojure also makes software transactional memory a first-class citizen, giving us a new approach to concurrency and dealing with the problems of shared state. Haskell Haskell is a strongly typed, functional programming language. Haskell’s type system is far richer than C# or Java, and allows us to push more of our application logic to compile-time safety. If it compiles, it usually works! Haskell is also a lazy language – we can work with infinite data structures. For example, in a board game we can generate the complete game tree, even if there are billions of possibilities, because the values are computed only as they are needed. Erlang Erlang is a functional language with a strong emphasis on reliability. Erlang’s approach to concurrency uses message passing instead of shared variables, with strong support from both the language itself and the virtual machine. Processes are extremely lightweight, and garbage collection doesn’t require all processes to be paused at the same time, making it feasible for a single program to use millions of processes at once, all without the mental overhead of managing shared state. The Benefits of Multilingualism By studying new languages, even if you won’t ever get the chance to use them in production, you will find yourself open to new ideas and ways of coding in your main language. For example, studying Haskell has taught me that you can do so much more with types and has changed my programming style in C#. A type represents some state a program should have, and a type should not be able to represent an invalid state. I often find myself refactoring methods like this… void SomeMethod(bool doThis, bool doThat) { if (!(doThis ^ doThat)) throw new ArgumentException(“At least one arg should be true”); if (doThis) DoThis(); if (doThat) DoThat(); } …into a type-based solution, like this: enum Action { DoThis, DoThat, Both }; void SomeMethod(Action action) { if (action == Action.DoThis || action == Action.Both) DoThis(); if (action == Action.DoThat || action == Action.Both) DoThat(); } At this point, I’ve removed the runtime exception in favor of a compile-time check. This is a trivial example, but is just one of many ideas that I’ve taken from one language and implemented in another.

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  • Involving kids into programing - which language? [closed]

    - by boj
    Possible Duplicate: What are some good tools for introducing kids to programming? Long-long time ago I had a great book by Frank DaCosta about writing adventure games in Basic, it had a great influence on me. I would like to show the world of programming to my child too but I have two problems: I can not found books like DaCosta's (but we can replace it with our fantasy so not a big deal) Which programming language should I use? Small Basic?

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  • How do you deal with information overload?

    - by talonx
    There are so many (good) programming blogs out there. Some of them are consistent in what they post - as in they stick to programming topics. Some of them occasionally post on other unrelated topics. Also, not every programming post might be relevant to me. I might have read one good post once, and not wishing to miss any future good ones - subscribed to the blog. Subscribing to too many blog feeds usually leads to just skimming through all of them (which takes time as well). Another option might be to subscribe to aggregators, like Hacker News - but that too has a huge rate of link accumulation. How do you manage if you wish to keep up with the programming blogosphere and still maintain a good signal to noise ratio?

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  • Interview question ranking FizzBuzz (1), implementing malloc (10)

    - by blrs
    I'd like to have your opinion on the difficulty of the following interview question: Find the subarray with maximum sum in an array of integers in O(n) time. This trivial sounding problem was made famous by Jon Bentley in his Programming Pearls where he uses it to demonstrate algorithm design techniques. On a scale of 1-10, 1 being the FizzBuzz (or HoppityHop) test and 10 being implement the C stdlib function malloc(), how would you rank the above problem? I think the people who can best answer this question are those who have read Programming Pearls and have tried to solve this problem on their own. To motivate those who haven't, 'Programming Pearls' gets featured many times in the 'Top 10 programming books' list.

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  • How do I make the correct career decision in regards to product manager/QA vs programmer?

    - by Adel
    I'm curious about how to approach the issue of whether I should focus on programming or on QA/testing/product management. I know that the latter seems like a broad category( if so, think of it as "general IT support" for now). At the moment I'm stronger in QA/prod. mgt ; however I'd like to switch more to programming, and I see I may have this opportunity. Wouldn't it be easier to switch to QA/prod. mgt in the future, if I go into programming now; rather than trying the reverse-order(i.e. if I decided later to go into coding.. say around mid-30s then it'd likely be harder). Just looking for any advice or tips about how to see more clearly. Part of me is scared I can't handle the programming side, but part of me says since there's demand and I'm interested that it's still worth a shot.

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